NexGen IoT Acceleration Lab(Advanced Model Businesses Promotion WG）

IoT Support Committee (Fourth Meeting)

AgendaDate:

16:00-17:30, Wednesday, January 31, 2018

Location:

Ministry of Economy, Trade and Industry
Main Building 17F 1～3 Shared Conference Room

Proceedings:

Activity Report, etc. of NextGen IoT Acceleration Lab[Handouts]
Material #1:
Material #2:

Member List
Activity Report, etc. of NextGen IoT Acceleration Lab

Reference Material #1: Lists of projects to be supported/selected through3rd & 4th IoT Lab Selection
Reference Material #2: Implementation State of IoT Lab Demonstration by Themes
Reference Material #3: Connected Industries and IoT-related Budgets（Japanese only）

Provisional Edition
Material ＃1

NextGen IoT Acceleration Lab IoT Support Committee Member<Chairman>
Kazuhiko Toyama

Representative Director and CEO,
Industrial Growth Platform, Inc.

<Member>
Akira Sakakibara

Chief Technology Officer, Microsoft Japan Co., Ltd.

Fujiyo Ishiguro

President and CEO, Netyear Group Corp.

Hiroaki Nakanishi

Chairman of the Board, Representative Executive Officer,
Hitachi, Ltd.

Jun Murai

Dean of the Graduate School of Media and Governance /Professor, Faculty of Environment and Information Studies,
Keio University

Junichi Tsujii

Director, Artificial Intelligence Research Center

Klaus Meder

President and Representative Director,
Bosch Corporation

Makiko Eda

Representative Director and President,Intel K.K.

Makoto Takahashi

Executive Vice President, Representative Director,
KDDI CORPORATION

Masaaki Tanaka

Senior Global Advisor，Pricewaterhouse Coopers International

Paul Daugherty

Chief Technology Officer, Accenture plc

Shinichi Koide

Executive Vice President, salesforce.com, inc.
Chairman and CEO, salesforce.com Co., Ltd.

Shiro Uchida

Chairman and Representative Director,
SAP Japan Co., Ltd.

Soichi Kariyazono

Chairman, Japan Venture Capital Association

Tadao Nagasaki

Representative Director and President,
Amazon Web Services Japan K.K.

Takayuki Hashimoto

Honorary Executive Advisor, IBM Japan, Ltd.

Takeshi Natsuno

Guest Professor, Graduate School of Media and Governance,
Keio University

Taro Shimada

Senior Executive Operating Officer & Division lead,
Digital Factory / Process Ind. & Drives Division,
Siemens K.K.

Tatsuya Harada

Professor, School of Information Science and Technology,
The University of Tokyo

Tony Blevins

Vice President, Apple Inc.

Wavde Mandar

Commercial leader, GE Digital Japan
General Electric International Inc.

Wayoh(Kazuhiro) Suzuki

Managing Director, Strategic Solution and Business,
Development, Cisco Systems G.K.

Yasufumi Kanemaru

Chief Executive Officer, Chairman and CEO,
Future Corporation

Yoshitaka Sugihara

Head of Public Policy and Government Relations,
Google Japan G.K.

Material #2

Activity Report, etc. of NextGen IoT
Acceleration Lab

January 31, 2018
Commerce and Information Policy Bureau
Ministry of Economy, Trade and Industry

Today’s Discussion

1

Our past activities
In order to create new IoT business models, and discover/develop IoT platform
creators as a driving force for new growth, the IoT Acceleration Lab has
implemented:① Support for regulatory reform of narrow-focus short term projects, as well as
business matching, and② Support of mid and long-term projects and regional/global collaboration
Efforts for the Fourth Industrial Revolution
 Introduction of the concept of ”Connected Industries” as a future vision thatJapan’s industries should aim for
Others Free discussion

Activities of IoT Acceleration Lab

IoT Acceleration Consortium3In response to the era of IoT/Big Data/AI, the “IoT Acceleration Consortium” was established as an organization led by theprivate sector to promote the use of IoT in industry, government, and academia beyond the framework of individualcompanies and industries.（Established on Friday, October 23, 2015)



Implements proposals, etc. on technological development and practical use of IoT, solutions for policy issues. Presently,
there are more than 3,300 member companies.

General ■ Chairperson
Meeting ■ Vice Chairperson
Steering Committee(15 members)

Chairperson Jun Murai

Dean of the Graduate School of Media and Governance,
Professor, Faculty of Environment and Information Studies, Keio University
Hiroo
UnouraPresident and CEO of NTT
Vice
Chairperson Hiroaki Nakanishi Chairman of the Board, Representative Executive Officer, Hitachi, Ltd.
Steering Committee
Members

Yutaka Ohashi
Noboru Koshitsuka
Mitsunobu Koshiba
Hiroshi Saito
Toshiyuki Shiga
Hiromichi Shinohara
Osamu Sudo

Chairperson Jun Murai

Dean of the Graduate School of Media and Governance & Professor,
Faculty of Environment and Information Studies, Keio University

Executive Vice President,
Mitsubishi ElectricProfessor, University of Tokyo
Graduate School
President, JSR
Vice President, Hitachi
CEO and Chairman of Innovation
Network Corporation of Japan
Vice President, NTT

Hikaru Domoto

Vice Chairman, NHK

Hideyuki Tokuda

Chairman, National Institute of Information
and Communications Technology
President & CEO, IPSe Marketing, Inc.
LawyerAdviser, Accenture

Professor, University of Tokyo
Graduate School

Hiroyuki Morikawa

Technology Development
ＷＧ

Advanced Model
Businesses Promotion ＷＧ(Smart IoT Acceleration Forum)(IoT Acceleration Lab)

Development, demonstrationand standardization of IoTrelated technologies such as
networks

Creation of advanced modelbusinesses, improvement ofbusiness environment
through regulatory reform,
etc.
Cooperation

Sawako Nohara
Izumi Hayashi
Chikatomo Hodo
Yutaka Matsuo

IoT Security ＷＧ
Review of theguidelines on network
connection of IoT
equipment, etc.

Associate Professor, University of Tokyo
Graduate School
Professor, University of Tokyo Graduate
SchoolData Flow
Promotion WG

International
Cooperation WG*

Review of the tasks inthe fields of high data
flow needs, etc.

Study of the global
support measures in
the Japaneseadvantage fields, etc.

Cooperation*Established in October, 2017

Ministry of Internal Affairs and Communications, Ministry of Economy, Trade and Industry, etc.

IoT Acceleration Lab
4

IoT Acceleration Lab supports the following projects through (1) financial support, (2) regulatory support (review ofregulations, establishment of rules), and (3) corporate collaboration support.
––

Short-term outstanding projects by individual companies andMid and long-term projects participated by multiple companies aiming at social implementation

Presently, there are more than 2,900 member companies.

Details of support
IoT Acceleration Consortium

Smart IoT
Acceleration Forum IoT Acceleration Lab（Advanced Model Businesses（Technology
Promotion WG）
Development WG）

IoT Security WG
Data Flow
Promotion WG
International
Cooperation WG

IoT Support
Committee• Provide advice on the IoT Lab management
and IoT projects implemented by IoT
Accleration Lab, as well as administrative
recommendations on regulations andsystems, etc.

Financial support

Regulatory support

Corporate
collaboration support

IoT Lab Demonstration(Test bed demonstration)→Support for mid and long-term thematic
projects by multiple companies

IoT Lab Selection(IoT Project Selection Meeting)→Support for short-term outstanding
projects by individual companies＜Themes (Draft)＞
Manufact
uring (*)
Agriculture

Mobility
Logistics

Medicalcare/healthPublicinfrastructure/
construction

Administ-rationIndustrial
safetyIoT LabConnection(Business matching)→Organization ofmatching events forcompanies/ researchorganizations/municipalities

EnergyFinance（**）

Educational
services

Smart
house

Tourism*Work closely with Robot Revolution Initiative** Work closely with Study Group on FinTech

Activities of IoT Acceleration Lab（Outline）

5

 In order to create new IoT business models, and discover/develop IoT platform creators as a driving force for new growth,
the IoT Acceleration Lab aims to provide short term project support and business matching, and also expand activities to
mid and long-term project support and regional/global collaboration, linking them organically.
Financial support

Regulatory reform,
standardization, etc.

① IoT Lab Selection (IoT Project Selection Meeting)
Short-term projects

Scout/select advanced IoT projects to provide financial
support, mentor support, and regulatory reform support.

Corporate collaboration support② IoT Lab Connection (Solution/matching)
Until now, matching has been conducted themed on tourism,
smart factory, healthcare/sports,
logistics/distribution/infrastructure, smart home, mobility,
education, agriculture/food, fintech,work style reform, and sharing economy.

②-1Big Data Analysis Contest ②-2 IoT Lab Global Connection

Mid & longterm PJ③ IoT Lab Demonstration (Test bed demo.)
Mid and long-term demonstration involving multiple
companies according to themes

Competition fordeveloping online
algorithm based on
big data provided
by companies

Business
matching, etc.
betweenoverseasand domestic
companies

Regional④ Local IoT Acceleration Labs
Select regional efforts for creating IoT businesses as “Local IoT Acceleration Labs”. Implement
mentor dispatch, staff meetings, and support for exhibition at large-size events. At present, 74
regions are selected.

International
cooperation①, ②, ②－１

…Started in FY 2015③～④, ②－２…Started in FY 2016

⑤ International cooperation by IoT Acceleration Consortium
In order to promote global business of domestic companies in the IoT field,
cooperate with overseas IoT consortiums and establish International Cooperation
WG.

5

Activities and Future Schedule（after Support Committee 3rd Meeting） 6①IoT Lab Selection
March 13, 2017
October 5, 2017
March 6, 2018

* Events marked with the same
numbers (★1, ★2) are held at thesame time)
IoT Project Selection Meeting ★1* Underlined red letters represent future
IoT Project Selection Meeting（jointly with CEATEC） plans.

3rd
4th
5th IoT Project Selection Meeting ★2[Jointly with CEATEC] October 4, 2017 1st-3rd IoT Project Selection Meetings Winners Presentation②IoT Lab Connection
March 13, 2017
July 25, 2017
March 6, 2018

4th matching event [Themes: Fintech, education, agriculture] ★1
5th matching event [Themes: work style reform, sharing economy]
6th matching event 【Themes: risk management, entertainment, AI】 ★2②-1 Big Data Analysis Contest
March 6, 2018 Award Ceremony of the 3rd contest ★2②-2 IoT Lab Global Connection
October, 2017 Business matching [India, Israel, ASEAN and EU]（jointly with CEATEC)③IoT Lab Demonstration[FY2017 Demonstration][FY 2016 Demonstration]
May 31, 2017
Application deadline
From April, 2017 Start public invitation / demonstration
From June, 2017
FS (feasibility study) survey
From April, 2018
Start demonstration④Local IoT Acceleration Labs
[Selection of the regions] March 13, 2017 2nd Selection ★1、August 7, 2017 3rd Selection[National staff meeting] 1st: March 14, 2017 2nd: July 24, 2017 3rd: February 15, 2018

Outline of IoT Lab Selection（Advanced IoT Project Selection Meeting）

7

 In order to discover and help commercialize advanced IoT Projects, government agencies, financial institutionsand venture capitals, etc. work together and implement (1) Financial support, (2) Continuous, one-on-one
Mentor support from mentors, and (3) Support for regulatory reform and standardization, etc.
 Select advanced projects from the perspectives of growth potential/leadership, influence, sociability, etc.
Up to now, 42 projects have been selected and supported through four-time Advanced IoT Project
Selection Meetings.
 Newly establish the “Regions Category”, promoting invitation of project proposals that are eligible for support fromthe Local IoT Acceleration Labs or municipalities. ”5th Advanced IoT Project Selection Meeting” is scheduledon March 6, 2018.

Targetgroupsand
Items
Evaluated

Target groups：All advanced projects using IoTtechnologies, etc. (All types of businesses, including
large enterprises, SMEs, and individuals)
Items evaluated: to be selected considering the following(1) Growth potential and leadership(2) Influence (openness)(3) Sociability(4) Feasibility

Supportdetails

The following three types of support are available（multiple choices allowed）(1) Financial support(2) Continuous, one-on-one support from mentors(3) Support for regulatory reform, standardization
etc. (Support in the procedures related to the System toRemove Gray Zone Areas, the System of Special
Arrangements for Corporate Field Tests, etc. as well as
research/demonstration for regulatory reform,
standardization, establishment of rules, etc.)

At the desire of applicants, the application contents canbe shared with
Sharing of (1)Participating support organizations, andApplication (2)Lab members

Content*Even if not selected for the final selection, applicants canshare the details of their projects with support organizations,
Lab member companies, etc.

5th Advanced IoT Project Selection Meeting
Schedule
Nov.9-Dec.15

Start accepting applications

Late Jan.
Screening results
announced

1st Screening [documents]

Early Feb.
（Scheduled）

2nd Screening[Closed presentations]

March 6
＠Bellesalle Tokyo
Nihonbashi

Selection Meeting[Open presentations](Final presentation screening)
5-10 candidates

March to April
onwards[Support for[Financial support] [Mentor support]
regulatory reform,
Decide on support Decide on supportetc.]
one by one
one-by one
Start discussions

3rd IoT Lab Selection Awarded Projects
8For “Trans-platform Category” and “Regional Economy Vitalization Category” that were newly established from theviewpoints below, 8 projects were selected and supported.
– Trans-platform Category… Projects to build a platform by developing basic technologies and systems available inmany fields– Regional Economy Vitalization Category… Projects to contribute to problem-solving in the region and vitalization of
the regional economy★Grand Prize★
Coaido Inc.

Regional Economy
Vitalization Category-Turn Tokyo from the worst city forlifesaving into a city with advanced
lifesaving systems Developed “Coaido119”, a simultaneous
notification message dispatch system that
activates following a 119 call from the app,dealing with ①a call for ambulance, ②a callfor help to people around③a call to the
fixed-line phone in the neighborestablishment equipped with AED at thesame time. The system aims to improve thesurvival rate of cardiac arrest patients by
notifying without fail the emergency situation to
the people in charge and also increasing theusage rate of AED.

★Second Prize★
Hiroki Kobayashi

Regional Economy
Vitalization Category(Center for Spatial Information Scienceat the University of Tokyo)-Time-space information network using thesensor network attached to wild animals Researched the system that enables theenergy-saving non-contact datacollection/retrieval and electric supply bytaking advantage of wild animal behavior.
Using the wild animals equipped with sensors,
the system aims to get otherwise hard-to-obtainenvironmental information of the areas without
infrastructure such as power sources,
information and roads, and put them to practicaluse as countermeasures to contagious diseasesof livestock, support for detection of earthquakes,
Support for measures against
etc.
Support for detection of landmines
contagious diseases of livestock

Information infrastructure to realize realmeasurement of the expansion speed ofpandemic diseases

・IPA funding
・Mentor support- IoT Decentralized Authentication
Platform by blockchain Based on the blockchain technology, developeda Decentralized Authentication Platform
technology that realizes device authentication,
the base of IoT, at low cost as well as IoT
Platform that secures the reliability of thedata from the device and also protects thedevice from hacking.
For rapidly-increasing IoT devices, the platform
aims to avoid the risks such as “certificate
authority hacking”, “IoT device compromise”
and “authentication history falsification”.
Decentralized Authentication Platform

IoT Authentication Platform

Information infrastructure forinternational support activities

Set to be provided only regionally in spring 2017

Progress of ProjectSpecial Jury Prize Trans-platform
Category
Keychain Pte. Ltd.

Progress of Project・NEDO funding (Time-space information
network using the sensor network
attached to wild animals)

Progress of Project・ NEDO funding (IoT Authentication
Platform development by blockchain
technology)
・ Mentor support

4th IoT Lab Selection Awarded Projects
9

As a task-setting style contest, under the theme of “Monozukuri (manufacturing) - Connected
Industries -”, IoT Lab Selection invites projects related to the following tasks.
1. Realization of a “strong supply chain” that can continue optimal economic activities even in the case ofdiversification of customer needs or unexpected situations such as disasters
2. Breakaway from manufacturing only for selling “goods”
3. Creation of new materials and products based on the fusion of intuition and experience of human and AI/IoTThe IoT Lab Selection selects five new projects, for which financial support, etc. is to be provided.

Grand Prize
O: Co., Ltd.
- the world’s first: sleep improvement/
productivity enhancement through visualizationof a body clock -Developed the world’s first non-invasive wristwatch-typedevice that can visualize a body clock.
By using the data obtained through the device on the app,a user can get to know about a lifestyle that improves thequality of sleep in a healthy way, and also use service thatlessens the difference between their subjective evaluationand the objective sleep improvement data. The device is
expected to keep the users from falling asleep at the wheel
through sleep management and reduce the accidents inthe transport industry, etc.

Second PrizeOTON GLASS- Smart Glass enhancing reading ability Developed a glasses-style device that takes characters
before the user’s eyes on a camera, and converts theminto text data through character recognition technology,
and then reads them out as a speech sound. The device
aims to create “the world where everybody can readcharacters” for people who have difficulty in reading, suchas the visually impaired, people with reading disorder(dyslexia) and international travelers.

(3) CBT-i coaching(1)Data acquisition (2) Analysis(sunbathing &from device (machine learning) sleeping time)

Cloud

Voice
Character information

People with substantiallypoor eyesight or visual
field defects

People who travel to a
country with a different
language and have difficulty
to read a local characters.

IoT Lab Selection List of Finalists

10

3 rd Selection Finalists
ApplicantCategory of Entry

Name of Project★Grand Prize★
Coaido Inc.
★Second Prize★
Hiroki Kobayashi（Center for Spatial
Information Science at the University ofTokyo）★Special Jury Prize★
Keychain Pte. Ltd.

Regional Economy
Vitalization Category

Turn Tokyo into a city with advanced lifesaving systems through introductionof IoT into SOS emergency apps and fixed-line phone emergency contacts.

Regional Economy
Vitalization Category

Time-space information network using the sensor network attached to wild
animals

Trans-platform Category IoT Decentralized Authentication Platform by blockchain

CLUE, Inc.

General Category

Remote control system for multiple units shared by drone makers

THE Power Grid Solution

General Category

Global launch of the capacity building system for power distribution
companies

Regional Economy
Vitalization Category

Aiming for the 4th Industrial Revolution of Japanese textile industry
originated in Kiryu

fukule inc.
ASIA AIR SURVEY CO., LTD.

General Category

Total platform of Sports × IoT × Entertainment

Mu Ltd.

General Category

Gastrointestinal imaging test system by mobile endoscopic mini robot

4 th Selection Finalists
Applicant★Grand Prize★
O:Co., Ltd.
★Second Prize★
OTON GLASSTANAKA ENGINEERING INC.
LEXER RESEARCH Inc.
Arblet Inc.

Entry Theme
Breakaway from
“Manufacturing only for
selling goods”
Breakaway from
“Manufacturing only for
selling goods”
Fusion of (human)
intuition/experience and
AI/IoT
Strong supply chain
Breakaway from
“Manufacturing only for
selling goods”

Name of Project
Service to achieve sleep improvement/productivity enhancement/labor
accident prevention through visualization of a body clock
OTON GLASS ― Smart Glass enhancing reading ability
Research & development of automatic inspection/sorting machines for glassprocessing that can detect 10μm cracks/losses/foreign substances throughdeep learning in 0.5 second
Development of global dynamic production management technology
through the optimization of massively parallel simulation
Nursing care service utilizing IoT wearable devices and continuous bloodpressure check technology

IoT Lab Selection Information transmission of the awarded projects

11 Information of the projects selected in the 1 st -3 rd IoT Lab Selections has beenshared both at home and abroad.
✓ Since March 2017, two finalists from the past selections have been introduced throughCabinet Office International PR video “Innovation Japan” series.
1 st IoT Lab Selection Grand Prize
Liquid, Inc.

https://www.japan.go.jp/innovation/fingerprint.html

2 nd IoT Lab Selection Second Prize
Phoenix Solution Co., Ltd.

https://www.japan.go.jp/innovation/rfidtechnology.html✓ The projects of prize winners of the past IoT Lab Selections were introduced at the speciallybuilt stage in Interop Tokyo 2017 held in June and in CEATEC JAPAN 2017 in October.
CEATEC JAPAN2017

Interop Tokyo2017
2nd
3 rd

Special Jury Prize
Grand Prize
Second Prize
Special Jury Prize

exMedio Inc.
Coaido Inc.
Hiroki Kobayashi (Univ. of Tokyo)
Keychain Pte. Ltd.

1 st Second Grand Prize Routrek Networks, Inc.
2 n d Grand Prize
Unifa Corporation
Second Prize
Zenrin Co., Ltd.
Second Prize
Phoenix Solution Co., Ltd.
3 rd Grand Prize
Coaido Inc.

IoT Lab Selection

12

Discovery of and support for project proposals leading to the regulatory reform

Based on the IoT Lab Selection, four cases of regulatory support have made progress.

Aiming for further discovery of and support for project proposals leading to regulatory discussion, theIoT Lab Selection transmits information on regulatory reform support examples as model cases, giving
the widest possible publicity to the efforts for regulatory reform support.

✓ Information transmission about application examples of the System to Eliminate Regulatory Gray Zones
Liquid Inc. (1st Selection Grand Prize)
Elimination of Regulatory Gray Zones for the Inns and Hotels Act
Fingerprint authentication for foreign tourists visiting Japan(payment/identification)
 Presented at the IoT Acceleration Lab event on March 13, 2017
UniFa Corporation (2nd Selection Grand Prize)
Elimination of Regulatory Gray Zones for the Child Welfare Act
Computerization of watching operations at nursery schools,
including midday nap monitoring Presented at the IoT Acceleration Consortium general
meeting and a specially set-up stage in CEATEC held in
October 2017.

✓ Consideration of the reinforcement of advisory function for the legislative system
Work on the establishment of support environment for early-stage start-ups to getappropriate advice through the strengthening of cooperation with mentors in legal
aspects as well as cooperation with outside support systems.

IoT Lab Selection Overseas Development of the Finalists13

 Centering on the awarded companies, overseas development of the finalists has been in progress.
＜Examples of overseas development＞➢ Liquid Inc. (1st Selection Grand Prize) -Fingerprint authentication for foreign tourists visiting Japan(payment/identification)-

In March 2017, the company established a joint venture with a financial conglomerate of Indonesia. The
project was adopted as the “Project for Nurturing New Industries in ASEAN and Japan” in July 2017, leading to
the demonstration aiming for the establishment of the fingerprint authentication platform at a publicorganization in the Philippines.
➢ Routrek Networks, Inc. (1st Selection Second Prize) -Agricultural system to optimally control water and liquid
fertilizer for drip cultivation-

In China, Vietnam and Thailand, the company is conducting demonstration experiment of ZeRo. agri. system.
In the demonstration in Thailand, besides the open-field banana cultivation, the crop rotation of okra, red
peppers and tomatoes using one ZeRo. agri. is implemented.
➢ UniFa Corporation (2nd Selection Grand Prize) -Support for computerization of watching operations at nurseryschools-

The project won the grand prize at the Startup World Cup 2017 Final (March 2017, San Francisco) held withthe participation of 16 winning companies of the preliminaries from 16 countries.
➢ Coaido Inc. (3rd Selection Grand Prize) -Turn Tokyo from the worst city for lifesaving into the city with advanced
lifesaving systems-

The project was adopted in January 2018 in a program of the metropolitan government, supporting oversea
businesses of the local companies and deciding the dispatch of personnel to Germany.

Routrek Networks, Inc

ZeRo. agri. - equipped cultivated land in
Vietnam Implement automatic control of water
sprinkling and fertilizing in accordance with thegrowth of crops by ZeRo. agri.

UniFa Corporation
Startup World Cup 2017 Final awarding
ceremonyIoT Lab Connection

14

Matching Events for Promoting Corporate Collaborations (Solution Matching)The matching event for member companies, organizations and municipalities with seeds and needs is held asa place where enterprises aiming to create new business models meet other enterprises with related
business models, technologies and services.



Past thematic events include “Tourism” and “Manufacturing”(1st), “Healthcare(Medical Care & Health)/Sports”
and “Logistics/Distribution/Infrastructure”(2nd), “Smart Home” and “Mobility”(3rd), “Fintech”, “Education” and“Agriculture/Food”(4th), and “Work Style Reform” and “Sharing Economy”(5th), leading to about 2,500
matching. The 6th Event is scheduled on March 6, 2018, themed on ”Risk Management”, “Entertainment”
and “AI”.

Details of 5th Event

Joint Event：”Sharing Economy Association, Japan
Superior Enterprise Certification Mark/Certification
System Award Ceremony”

Date: Tuesday, July 25, 2017, 10:00-18:00
Venue: Tokyo (Bellesalle Tokyo Nihonbashi)
Co-hosts: IoT Acceleration Lab, METI, andNEDO
Support entities: HR・Learning Technology &Big Data Analytics Consortium (LeBAC),
Sharing Economy Association, Japan (SEAJ)① Business Matching (1:1 Matching)
Based on the needs and seeds
submitted by companies, a list ofmatching companies was
prepared prior to the event. 20minute individual sessions were
held on the day.
139 companies/organizations/municipalities participated.
534 matchings were carried out.

Joint Event：“HR-Technology Contest”

In collaboration with outside private organizations, joint events todispatch information on advanced cases in various fields, etc.

② Presentation Matching (1:N Matching)
Popular matching companies,
etc. made a presentation on theirseeds and needs to unspecified
multiple participants. Meetings
were immediately arranged withthe companies who showedinterest in them.

6 companies made presentation.
Approx. 200 participated.

IoT Lab Connection
Matching Events for Promoting Corporate Collaborations (Solution Matching): Results[4th event] Monday, March 13, 2017 @Hitotsubashi Hall, Tokyo
Theme：Fintech, Education and Agriculture (food)
About 131 companies/organizations participated, leading to about 461 matchings.
8 municipalities participated in “Municipality Matching”. （Among them, 7 participated in Local IoT
Acceleration Lab）
(Average value of Questionnaire survey results)
No. of companies interacted: 7.5
No. of companies planning future interactions: 2.8[5th event] Tuesday, July 25, 2017 ＠ Bellesalle Tokyo Nihonbashi
Theme：Work Style Reform and Sharing Economy
About 139 companies/organizations participated, leading to about 534 matching.
(Average value of Questionnaire survey results)
No. of companies interacted: 7.5
No. of companies planning future interactions: 2.9→Total of past 5 events
About 778 (512, excluding overlaps) companies/organizations participated, leading to about 2,517
matchings.
(Average value of Questionnaire survey results)
No. of companies interacted: 7.8
No. of companies planning future interactions: 3.1
According to the information from the 93 companies/organizations responding to the secretariat’s
survey, about 27 cases of collaborative partnership were formed among them.

15

Results of the past IoT Lab Connection

16■Seven Bank, Ltd. × Smile Works Inc.
Smile Works, a provider of Cloud ERP service to SMEs, and Seven
Bank, a provider of safe/efficient settlement intermediary,
implemented a demonstration experience to link e-commerce
operations - corporate order receiving/placing, billing, andpayments - with banking service. By connecting Cloud ERP of Smile
Works to internet banking of Seven Banks, they realized a service
system that links the automatic import/canceling ofdeposit/withdrawal details and the electronic transfer/payment ofaccounts payable through data cooperation. Thus, they aim for
operational reforms and productivity improvement in SMEs. In the
future, seek a service that coordinates companies’ core system withbanking service automatically.

API■Sales One. Inc. × MIYAGAWA CO., LTD.
Sales One, a provider of workflow app linkable to IoT or RFID
equipment, and MIYAGAWA, a provider of IoT solutions suchas “RFID takeout and return system”, worked together. Taking
advantage of the characteristics of both companies, they built
a system to control the takeout and return of equipment& materials such as tools and propane gas equipment, etc.
by attaching RF tags to them.
(Graphic display of StampFlow and other systems)■Hoshiden Corporation × Sato Healthcare Ltd.
Collaboration between Hoshiden, a provider of the wristband-styledevice “MEDiTAG” that enables monitoring of vital information of human,and Sato Healthcare, that develops visualization of nurses’ workload.
They made possible to visualize the location/vital information ofpatients, as well as nurses. They exhibited at the INTERNATIONAL
MODERN HOSPITAL SHOW 2017.

(Image of the takeout and return control)

IoT Lab Connection Big Data Analysis Contest

17 With the aim of competing on the accuracy of Big Data provided by companies, etc. and data
analysis based on them, Algorithm development contest is held in an easy-to-join online style byinviting public participation including students. Through the data analysis for challenges/data of theindustrial world, the contest aims to discover excellent data scientists, matching them with data
providers while training them.
 The first contest, themed on tourism, competed on algorithm development for predicting the number oftourists, while the second content viewed in algorithm development for sales forecast/new
development, themed on distribution/retailing. The third contest competed on algorithm
development for predicting electric power output of solar power plants under the theme of“electricity/weather conditions”. The award ceremony is scheduled to be held at the IoT
Acceleration Lab event on March 6, 2018.
 The Big Data Analysis Contest is contributing to the discovery of human resources, including a prize
winner employed by a company as a data scientist; a prize winner assigned by his/her company as a
key member of the project based on data analysis.

〈Outline of 3 rd Big Data Analysis Contest〉
Host organizations:Support organizations:

Planning and operation:
Implementation term:
Data:

No. of participants:
No. of applications:

IoT Acceleration Lab, METI
Ministry of Education, Culture, sports, Science and Technology,
Japan Meteorological Agency, Japan Photovoltaic Energy Association,
Center for Artificial Intelligence Research University of Tsukuba,
Weather Business Consortium
Opt, Inc.
October 2–December 21, 2017
Electrical power output of the three domestic
solar power plants provided by Tokyo ElectricPower Co., Inc.

131
2,153（multiple application allowed）

IoT Lab Global Connection

18

Business Matching of Overseas and Domestic Companies
 In order to promote business collaboration and global business of domestic companies and overseas
companies (start-ups), invited overseas companies (start-ups) in India, Israel, ASEAN and EU to Japan,
implementing Business Matching between them and Japanese companies at CEATEC Japan.
 Overseas companies (start-ups) set up exhibition booths at CEATEC JAPAN Hall.
 Oversea companies (start-ups) took part in Pitching Session, and Embassy and other experts had speech.

① Business Matching (1:1 matching）
A matching list ofoverseas/domestic companies
based on their seeds/needs was
prepared beforehand, leading to
25-minute individual matchings.

58 domestic companies/

organizations participated.
257matchings organized.

③ Pitching Session
Speech by the French
Embassy in Japan, venture
capitals, etc.
40 overseas companies
showed off theirtechnologies through thepitch.

overseas companies Date：Tuesday, October 3 - Friday, October 6, 2017
② Exhibition Booth 40
set up exhibitionbooths.

Venue：Makuhari Messe（Hall４）Special Theme Area
for the IoT Acceleration Lab Business Matching
No. of participating companies: 40 overseas companies
and 58 domestic companies(reference：as for 2016, 29 overseas and 41 domestic
companies)

IoT Lab Demonstration（Test-bed Demonstrations）

19

 Demonstration project by multiple companies aiming at mid and long-term social implementation
 It aims to improve business environment to share/use data beyond the framework ofoffices/enterprises/corporate groups by making a sharp distinction between competitive areas andcollaborative areas by fields. (For details of the projects, see Reference Material #2)

Flow of IoT Lab Demonstration①Inviting themes(Discover potential needs)

・Invite themes to be
implemented from IoT
Acceleration Lab members,etc.

Efforts in FY 2017

②FS survey(Review demonstration architecture)

・FS survey is conducted byclarifying the area of
responsibility for thegovernment and the private
sector.

・Based on the content, FS・During the application
survey is being conducted on
period (February 28-March
13 proposals.
28, 2017), 73 proposals
were received.
(Examples of themes)(Breakdown of themes)
・Medical/health
19 ・Logistics/distribution (Electric・Logistics/ distribution
15 tag)・Infrastructure/construction ７ ・Medical care/health (Health・Manufacturing
６ management)
・Energy
３ ・Energy（Mine development）
・Smart home
２・Industrial safety
２ ・Public administration（welfare
・Tourism
２ taxi ticket）
・Others
17 ・Others (PDS／Data base), etc.
※Some surveys have advanced to ③.

③Test-beddemonstration④Evaluation/
follow-up

・Implement demonstration
projects (test-bed
demonstration) and reflect
them in a budgetary
request, etc.

・Implement evaluationand follow-up by support
committee, etc.

・In addition to the themes
implemented so far, 7 fields
of demonstrations related
to smart home, airplane,etc., are being conducted.
(Ongoing demonstration themes)
・Manufacturing (Smart factory)・Social infrastructure
・Industrial safety
・Public administration
・Tourism
・Airplane
・Smart home

Through the demonstrations, IoT Lab aims for (1) Review of regulations corresponding
to new technologies such as IoT, (2)Establishment of rules such as standardized data
formats, etc.

Local IoT Acceleration Lab

20

 In order to solve regional problems, select regional efforts to promote IoT business as
Local IoT Acceleration Lab. (74 regions as of January 2018).
 Through Information-technology Promotion Agency, Japan (IPA), support the activities of
the Lab by mentor dispatch and promotion of regional collaboration, and also back up
regional problem solving/creation of new businesses, etc. based on IoT.
System of Local IoT Acceleration Lab

Selection Criteria（3 principles of Local IoT Acceleration Lab）
1. Regionality（regional uniqueness）

XX Prefecture/City/Town IoT Acceleration Lab
Selection
Venture companies
in region

Schools/universities
in region

Various projects by various participants
Matching
Utility companies
Public instituteProjects
in regionVenture companies
in region(product development,
eventsetc.)
in region
Demonstration
Core companies
in region

Investors/funds/
financial institute in region

SupportPermission to use
Logos
Sending mentors
Project supports
Service provision fromsponsors

Participation to IoT
Acceleration Lab
project

IoT
Acceleration
Lab

METI

Matching
Project
SupportDemonstration
Systemreforms

2. Enthusiasm and continuity of the municipality（scenario forindependence, key persons）
3. Diversity and sense of unity（collaboration with various entities, etc.）

74 selected regions※①-③ in the picture represent the time of the selection①：29 regions（July 2016：1st）②：24 regions（March 2017：2nd）③：21 regions（August 2017：3rd）

中部経産局管内（12）
METI Chubu (12)-Toyama Pref.(1)-Gunjo(3) ・幸田町③-Koda(3)
・富山県①
・郡上市③
-Ishikawa Pref.(1)-Kagamigahara(3)・石川県①・各務原市③
・三重県①-Mie Pref.(1)
・加賀市①
・愛知県①
-Kaga(1) -Aichi
Pref.(1)-Hakusan(2) ・名古屋市②-Nagoya(2)
・白山市②
-Gifu
Pref.(1)-Toyoda(2)
・岐阜県①
・豊田市②

Liaison office : local governments, local tradeassociations etc.

Main support measures for Local IoT Acceleration Lab
1. Granting of the right to use “Local IoT Acceleration Lab” mark2. PR to IoT Acceleration Lab members through e-mail magazine,
Lab events, etc.
3. Dispatch of mentors who contribute to realizing/ developing
regional projects/companies, etc.
*Also, examine support from cooperative companies and linkage
with various subsidy systems according to business progress.

METI Kyushu (12)
九州経産局管内（12）-Fukuoka Pref.(1) ・長崎県②-Nagasaki Pref.(2)・福岡県①-Kitakyushu(1)-Nagasaki City(2)・北九州市①
・長崎市②-Fukuoka City(1)・福岡市①・南島原市③-Minami Shimabara(3)-Kahankei area(2) ・熊本県①
・嘉飯桂地域②-Kumamoto Pref.(1)
・佐賀県②
・宮崎県②
-Saga Pref.(2) -Miyazaki
Pref.(2)・大分県②・鹿児島県①-Oita Pref.(2) -Kagoshima
Pref.(1)Okinawa General Bureau (1)
沖縄総合事務局管内（1）-Okinawa Pref.(1)・沖縄県①METI Chugoku (6)-Tottori
Pref.(3)
中国経産局管内（6）-Hiroshima
・鳥取県③Pref.(1)・広島県①-Okayama Pref.(3)・岡山県③Pref.(2)・山口県②-Yamaguchi-Setouchi(3)・瀬戸内市③ ・島根県①-Shimane Pref.(1)

北海道局管内（5）Hokkaido Bureau(5)-Sapporo(1) -Shihoro(1)
・札幌市①
・士幌町①
-Hakodate(2) ・猿払村③-Sarufutsu(3)・函館市②-Kushiro(1)
・釧路市①

METI
Tohoku (6)東北経産局管内（6）-Yamagata Pref. -Senboku(2)・山形県③-Miyagi
Pref.(1) ・仙北市②-AkitaHorizontal・秋田横連携③
Collaboration(3)・宮城県①-Sendai(2)Wakamatsu(1)・仙台市②-Aizu ・会津若松市①

Kanto
Bureau of Economy, Trade and Industry(17)関東経産局管内（17）-IbarakiPref.(1) ・川上村③-Kawakami(3) -Shonan
Area(2)・茨城県①・湘南地域②-GunmaPref.(3)・山梨県③-Yamanashi Pref.(3)
・群馬県③
・新潟県②
-Niigata Pref.(2) -Saitama Pref.(2)・埼玉県②Pref.(2)・神奈川県②-Kanagawa-Nagaoka(3) ・長岡市③-Ota-ku(3)・大田区③ -Shizuoka
・横浜市②-Yokohama(2)Pref.(1)・静岡県①-ChibaPref.(2) ・相模原市②-Sagamihara(2) -Fujieda(3)
・千葉県②
・藤枝市③
-Ina(1) -Yokosuka(2)・伊那市①METI Shikoku (2)四国経産局管内（2）-Kochi Pref.(1)-Minami(3) ・美波町③・高知県①・横須賀市②

METI Kansai (12)
近畿経産局管内（12）-Fukui Pref.(1) -Osaka
City(1)
・福井県①
・大阪市①-Sabae(2) -Kobe(1)
・鯖江市②
・神戸市①
-Eiheiji(3) -Awaji(3)・永平寺町③・淡路市③-Shiga Pref.(2) -Nara
Pref.(1)
・滋賀県②
・奈良県①
-Kyoto City(1) -Asuka(3)-OsakaPref.(2)・京都市①・明日香村③-Wakayama Pref.(1)・大阪府②・和歌山県①

Achievements of Local IoT Acceleration Lab Support

21（１）Mentor Support
Mentor Dispatch Records
Total number as of the end of December, 2017: 250 cases
・Mentors from outside: 104 cases - Provision of expert knowledge
e.g.: strategy/introduction support (Kochi, Senboku and Fukui), human resources development (Kagaand Mie), IoT utilization case studies (Shizuoka and Aichi), etc.
・IPA staff: 146 cases - Provision of advice on action policy*Mentor is an expert with technical knowledge such as IoT, who provides support for formulation of business strategies/plans,
etc. to solve regional needs.（University professors, the CEO of venture companies, etc.）（２）Horizontal Collaboration（inter-Labs）Support
Horizontal Collaboration（inter-Labs）and Business Matching Achievements
・Staff meeting (Meeting attended by Lab-related people nationwide)
Local IoT Acceleration Lab staff meeting：Held semiannually (March & July 2017,
February 2018)
・Regional Bureau jurisdiction area staff meeting (Meeting held by each region)
The Kanto Bureau of Economy, Trade and Industry (METI-Kanto) (April 18, 2017), etc.:
Held at each bureau
・Thematic staff meeting (Meeting held in each region attended by Lab-related
people in each field)
Staff meeting for selected regions working on the agricultural field (December 11-12,
2017@Yamanashi Prefecture)・Exhibition at events”IoT Japan2017” hosted by Nikkei Business Publications, Inc. (Osaka, Nagoya, Sapporo,
Fukuoka) (March-June 2017)
CEATEC JAPAN 2017 (＠Makuhari Messe. Inc., October 2017): Joint exhibition by 27
regions

Exhibition at CEATEC JAPAN2017

Local IoT Acceleration Lab Advanced Cases (1)【テストベッド型ラボ】■
Shihoro Town, Hokkaido (agriculture)【テストベッド型ラボ】【テストベッド型ラボ】
•

•

•

22

The agricultural IoT device “e-kakashi” was installed in the demonstration farms, etc.
owned by the local Shihoro High School. Through biological analysis of the collectedenvironmental data, students learned cultivation technique based on the data (①automation of cultivation record, ②the way to analyze/utilize cultivation data, ③growth
prediction), which led to the practice of scientific agriculture and also contributed to theexcellent human resources development in agriculture.
Through formularization of cultivation methods (=recipe) based on the data, cultivation
technique has been handed down by the high school students, and productivity in thewhole region has been improved due to the horizontal development to the local
Agricultural IoT device
farmers.
“e-kakashi”
Acquired a nationally-rare, agricultural high school-led “GLOBAL G.A.P”（October 2017,
garlic /carrot). In the future, the staple crops of the town such as wheat and potatoes are
expected to be added to the item list.

【テストベッド型ラボ】【市のテストベッド化とICTオフィスによる産業集積】■ Sendai City, Miyagi (fisheries)•

Based on the industry-academia-government collaboration centering on the 3 IoT-related organizations
specializing in sensor, cloud and drone/Sendai City/Tohoku University IIS Research Center, work on
the regional problem solving using IoT in the industries such as manufacturing, agriculture, fisheries, foodprocessing, and wholesaling.

•

Under the partnership of thefishermen’s cooperative, IT
companies , Tohoku
University, etc., developed
the equipment for malefemale discrimination using
ultrasonic echo image ofcods. It is expected to bemade into a product in thespring of 2018.

・

Discriminatedresult○：soft roe ○：cod roe ○：Others

Picture provider：Tohto C-tech Corporation

Local IoT Acceleration Lab Advanced Cases (2)【テストベッド型ラボ】【市のテストベッド化とICTオフィスによる産業集積】【テストベッド型ラボ】■ Kaga City, Ishikawa (Human resources development)

23
Programming course forchildren• Using IoT, work on IT human resources development, aiming for increased added

value and promotion of creation/inauguration of attractive companies in the city’s
industrial fields (monodukuri(manufacturing), agriculture, tourism)①Programming education
Prior to the start of compulsory programming education in 2020,
implement programming classes at all the elementary schools in thecity (19 schools). Train programming educators at the seminars forteachers. Distribute Raspberry Pi Zero to all those who were interested,aiming to expand the range of human resources for industries.
②IoT Introduction Seminar for small and mid-sized companies
Implement IoT Introduction Seminar and high-level technician
training courses for the management and company employees. Aim toraise the level of productivity of the companies in the city.
Raspberry Pi Zero

【テストベッド型ラボ】【市のテストベッド化とICTオフィスによる産業集積】■ Shonan Area, Kanagawa (Town planning)

・Fujisawa City, etc. open/provide field and data through the IoT
Data Distribution Platform of Keio Research Institute at SFC.,
companies, etc. provide services to the residents based on the various
real time information and existing open data. Aim for the QOL
improvement of the residents by solving various regional problems.
・Specifically, aim for practical implementation of the services andproducts that contribute to solving regional problems on a businessbasis through information collection/analysis.
①Garbage/resources collection information, atmospheric information,and road surface condition information collected by garbage truck(Utilization of the road marking scratch auto discovery technology, etc.)②Detection/discovery of illegal dumping, graffiti, etc. through AI
technology③Personal data centering on the elderly provided by regionally specializedSNS

Data collection by garbage truck（conceptual drawing）

Efforts for the social implementation of IoT

24

 In order to promote introduction/utilization of IoT, etc., collected and released IoT utilization
examples of small and mid-scale manufacturers, etc. in March 2017. Also in private organizations,prepared and released “IoT utilization examples of smaller high-rated manufacturers”.
 In order to develop regions’ efforts horizontally, held meetings according to field themes attended
by IoT Acceleration Local Lab parties. Following the meeting on agriculture in December 2017, the one
themed on Monozukuri (manufacturing) and Human resources development is scheduled in March 2018.
 In order to promote facilitation of public data utilization or “open data” in companies andmunicipalities, held “Data Innovation Workshop” on the new data utilization for companies andmunicipalities, who came together, each bringing information on their open data.

✓ Release of IoT utilization Examples✓ Agriculture IoT Staff Meeting
In December 2017, the IoT
Acceleration Local Lab selected
regions engaged in agricultural
fields got together locally in
Yamanashi, exchanging opinions
through the demonstration fieldstudy, etc.
Field trip @ grape farm

IoT utilization examples for manufacturing SMEs
(Kanto Bureau of Economy, Trade and Industry, March 2017)✓ Holding of the workshop on data utilization
As a place for companies and municipalities to discuss new data utilization bybringing their own open data, “Data Innovation Workshop” was held in March2017.
Aiming at ①suggestion for the promotion of data circulation from private to
public, and ②creation of data utilization-related ideas, held Ideathon under thethemes of healthcare/snow removal (supported by Aizuwakamatsu City).

International Cooperation

25

 ITAC sighed MoU with the National Association of Software and Services Companies (NASSCOM) in India in
February 2017, and also with the Alliance for IoT Innovation (AIOTI) in Europe in March the same year.
 In order to promote domestic companies’ global business in the IoT fields, in cooperation with MoU signatoryorganizations, etc., make positive efforts to invite overseas companies into IoT Acceleration Lab operations (IoT
Lab Selection, etc.).
 In partnership with JETRO, introduce excellent Japanese companies/technologies/efforts to overseas.

✓ Outline of MoU signatory organizations

MoU (Memorandum of Understanding): an agreement
between multiple parties including executive organizations

National Association of Software andServices Companies (NASSCOM)

Alliance for IoT Innovation (AIOTI)＜Outline of the organization＞
It is an IT business-related industry group established in 1988 inIndia. About 2,000 member companies include Indian enterprises
and multinational enterprises for IT, software, web services, ecommerce, etc.（as of February 2017) Specifically, it makes
efforts for the expansion of IT businesses, establishment ofstrategic partnership, etc. under multiple committees.

＜Outline of the organization＞
It is an IoT promotion organization established by EC in March2015. About 160 member companies include Industrie 4.0
participating members, communication carriers, chip vendors, etc.
（as of March 2017） The steering committee members include
the EC staff. Specifically, it makes efforts for IoT, ecosystem,
standardization, policy issues, etc. under 13 WGs.

＜Aim of MOU (February 2017)＞
Work on information exchange on good practice, etc., the study
on the fields for cooperation, etc., mutual visits by the member
companies of the two organizations, etc.

＜Aim of MOU (March 2017)＞
Proceed with information exchange on good practice, sharing of
IoT field policy proposals, and cooperation for the challenges of
IoT-related standardization or IoT promotion.

✓ Partnership with JETRO
Currently, the IoT Acceleration Lab “Global Connection” (business matching with overseas companies,etc.) is implemented with the cooperation of JETRO.
In the future, through a deeper relationship with JETRO, consider dispatch of domestic corporate
missions abroad, invitation of overseas companies to Japan, etc.

Efforts toward the Fourth Industrial
Revolution

Proposal on “Connected Industries”

27

 Introduced in March 2017 the concept of “Connected Industries” - intended for a creation of new value
based on the various connections among humans, stuff, technologies, organizations, etc. - as a future
vision of Japanese industries.
 In October 2017, released “Connected Industries Tokyo Initiative 2017” in order to promote“Connected Industries”. Aim to realize the conditions for Japan’s victory in the global competition for real
data by deploying policy resources with priority into the five designated key areas as well as promoting
horizontal policies.

What is “Connected Industries”?
Connecting a variety of industries, companies, people, machines, dataand other social elements, contributing to...
Creating new added value and products/services using AI, etc.,
and improving productivity for...
Solving social challenges, such as aging society, labor shortages,
Environment and Energy restrictions
Through these processes, enhancing industrial competitiveness→ Improving people’s lives
Promoting the healthy development of the national economy
For realization of “Connected Industries,” there are a variety of ways depending on sectors or business conditions, levels ofeffort necessary for introducing IT, and other issues.
Some businesses may keep their connection within their factories, while others may connect with their business partners orother companies in the same sector, or directly connect with their customers or markets.
Connecting industries beyond the existing business relationships may establish a new industrial structure.

“Society 5.0” and “Connected Industries”<Society>

Primitivesociety

Agricultur
al society

Industrial society

Digital society

Society 5.0
Ultra-smart society

Connected Industries• New value created by various connections• Collaboration of Individuals→Creating new business models

Development ofprivate companies<Industry>

Creation ofa new society(Human-centric &Solution-oriented)

Things × Things
Humans × Machines/Systems
Companies × Companies
Humans × Humans(Dissemination of knowledge and skills)

Suppliers × Customers
Large companies x SMEs
Regions × Regions
Fields × Digital
Various forms of collaboration<Technology>First Industrial
Revolution- Acquisition ofpower(steam engine)

Second Industrial
Revolution- Powerinnovation(electric power,
motors)Third Industrial
Revolution- Advance ofautomation(computers)

Fourth Industrial
Revolution- Autonomy based on Bigdata,
AI and IoT

28

“Connected Industries”- New vision for future Japanese Industries Current
situation

Japanese industries are advancing digitalization of data for their establishments and factories as well as technologies andtechniques, but the companies tend to manage the data in-house and tend not to collaborate on conducting these activities.

Industry-academiagovernment
collaborative efforts forencouraging discussions
and study

Futuregoals

Sector-based efforts, e.g., mobility, manufacturing, biotechnology and materials, plant safety, smart life
Cross-sectoral efforts, e.g., data utilization, standardization, IT human resources, cybersecurity, AI R&D

Connecting data and using data efficiently will encourage innovation, better productivity and dissemination oftechnology.

“Connected Industries” will become a strength for Japanese industries,
such as Made-in-Japan products, “Industrial Robots”, “Kaizen” , etc.

Analyzing data by AI

Data for better productivity

Humans and robots working(in concept) together

New services
based on dataandsolutions

Dissemination of knowhow by data

Disseminating to regional
companies and SMEs.
29

Five Priority Fields Tackled under the “Connected Industries”

30

Automated Driving and Mobility Service
 Identifying approaches for data harmonization
 Enhancing AI and related human resource
development
 Establishing future vision of mobility service
concerning logistics and EVs

Manufacturing and Robotics
 International standardization of datarules including formats
 Enhancing inter-company collaboration inharmonized fields (e.g., cyber security
and human resource development)
 Environmental improvement for the IoT
introduction for SMEs, e.g., IoT tools

Plant/Infrastructure Safety Management
 Improving technological capability forsafety through utilizing IoT
 Developing guidelines and other common
rules for harmonizing data acrosscompanies
 Promoting further reform of regulation
systems

Biotechnologies and Materials
 Achieving joint utilization ofdata across companies inharmonized fields
 Establishing an AI technology
platform for commercialization
 Obtaining public acceptance

Smart Life
 Discovering potential needs andmaterializing possible services
 Data collaboration through intercompany alliances Developing other rules for further datautilization

Developing cross-sectoral support measures that bolster these efforts.

30

Cross-sectoral Policies under the “Connected Industries”

31

Sharing and Utilization of “Real-Data”
 Establishing a new system for certifying data-sharing-businesses andintroducing new tax-break programs.
 Supporting measures for developing AI systems through collaboration
between large/medium companies, which hold “real-data”, and AI venturebusinesses Creating advanced models and then developing rules based on demonstration
programs
 Revising the Contract Guidelines on Data Utilization Rights

Environmental improvementfor Data Utilization
R&D, human resource development
and cyber security
 Promoting development of innovative AI chips
 Enhancing efforts for human resource
development in the field of data. (e.g., hybridtype in both virtual and physical systems, and in
AI technologies)
 Building a framework to attract outstanding
human resources from around the world
 Enhancing cybersecurity measures

Further expansion of initiatives
Global, venture and local companies
and SMEs Enhancing worldwide cooperation especially with
EU and Asian countries
 Promoting exports of Japan’s systems through theInternational Collaboration Working Group Further improving the quality and quantity ofhuman resources related to international
standardization efforts
 Building Japanese venture ecosystems
 Enhancing support measures for local companies
and SMEs by providing programs for developing or
dispatching experts

Enhancing support measures placing “real-data”, as its core.

31

Promotion of Industrial Data Utilization in Cooperation Areas

32 Due to the IoT development, the data distribution amount is increasing exponentially. In
order to break down individual company’s closed data policy or excessive data securing andthus promote data utilization toward the solution of social problems, consider thesystem in which competent ministers certify/support private business operators’
efforts for data utilization in cooperation areas (sharing/coordination) under thecondition of security guarantees, etc. Aim to submit the bill to the current ordinary
session of the Diet.
Certification Scheme for Industrial Data Utilization Program (draft)○Formulation ofbasic policies

Duties of the heads of related
administrative agencies to
response/answer(including the Personal

Government(competent ministers)

Application Certification

Information Protection
Commission)○Check with the Personal Information
Protection Commission○Industrial Data Provision Request System(provisional name) (Check with the ministers)*Limited to the business operators who have an official guarantee
of certain security measures.

Data possessing
business operators

Data utilizing
business operators
Industrial Data
Utilization Program

Provision of data

Provision of data

Certified business
operators for industrial
data utilization

Support, etc, (under consideration)
Examples of data:
・energy data
・industrial machinery data・logistics data, etc.

✓Confirmation of security measures byspecialized agencies✓special cases for the taxation system✓support for SMEs, etc.

Points (draft)(1) Establishment of the system to certify theIndustrial Data Utilization Program➢ Competent ministers certify the “Industrial Data Utilization
Program” for collection/utilization of industrial data in cooperation
areas.
➢ As competent ministers, Minister of Internal Affairs andCommunications and Minister of Economy, Trade and Industry;
while as the ministers having jurisdiction over the business, theminister in charge of industrial data utilization works are assumed
to take on the positions.

(2) Establishment of the system to request thedata provision➢ The system in which the certified business operators for industrial
data utilization engaged in designated safety control can request via
competent ministers the provision of data from related ministries
and agencies/public institutions, etc. who own specific data.

(3) Confirmation of security measures➢ In order to confirm cyber security measures taken by the business
operators for industrial data utilization, specialized agencies
implement the inspection of countermeasure situations, theinvestigation to determine the cause of incidents, etc.

(4) Support measures*Consider the response in the IoT taxation system as well.
*Consider support for SMEs as well.

(5) Request for and cancellation of the reports
Source: December 13, 2017 Commerce, Distribution and Information Committee (4th) Material #2

Radical Enhancement of IoT Investment

33(Establishment of Connected Industries Taxation System)（income tax/corporate tax/corporate residents’ tax/enterprise tax）

 As for the efforts to improve productivity through coordination/use of data protected by a certain cybersecurity measures, special depreciation of 30％ or tax exemption of 3％ (5％ in the case of collateralsalary raise) is applied for the introduction of the systems or sensor robots required for the purpose.
 Companies work out a business plan related to the contents of efforts concerned, which is to be certified by
the competent minister. The equipment included in the certified plan is subject to tax measures(applicable period: until the end of FY2020).

[Requirements of certification of
the plan]①Content of data coordination/use
・Link external data or unacquired data tocompany data.
・Share important data related to thecompany competitiveness between groupcompanies or offices.
②Security aspects
The existence of firm security measures isguaranteed by security specialists(Registered Information Security
Specialist, etc.).
③Productivity improvement goal・During a certain period from theinvestment year, both of the below are
expected to be achieved.
ｰLabor productivity: average annual
increase 2％ and overｰInvestment return: annual average 15％
and overContents of special treatment of taxation➢ Take the following measures in the capital
investment based on the certified business plan.
Facilities to be
対象設備
coveredSpecial
特別償却
depreciation

Software30%

ソフトウェアFurnitureandfixtures
器具備品
Machinery and
機械装置
equipment

30%

Tax exemption

税額控除
Upper limit:15%
of3%

corporate tax amount（法人税額の15％を限度）
Upper limit:20%
５％ ※ ofcorporate tax amount（法人税額の20％を限度）[Examples of facilities to be covered]data collection equipment (sensor, etc.), robots/machine
tools that are automated through data analysis, systems
required for data coordination/analysis (server, AI, software,etc.), products for cyber security measures, etc.

Minimum investment amount：50 million yen※ In the case of year –on-year increase rate of theaverage salary payments being３％ and over in
addition to the certification of the plan.

What is happening around the world over “Promoting the Fourth
Industrial Revolution”

34

All over the world, the situation to draw in new technologies/businesses accompanying the Fourth
Industrial Revolution is becoming more and more competitive . Countries that have introduced theRegulatory Sandbox have begun the competition to call in new technologies/human resources.
 Some countries are trying to become a hub of demonstration/experiment by taking advantage of theregulatory environment they are in, even without the Regulatory Sandbox.
 Japan may fall behind implementing new technologies socially, if it fails to take actions
immediately.
[Government]: Regulatory Sandbox to survive
the global competition[Government]: The country itself is generous todemonstration and also keen on industrialization.

●In Britain, regarding Fin Tech, 42 companies have alreadylaunched the Sandbox Project. Financial Services Authority
directly supports venture companies providing innovative
business models.

● African countries such as Rwanda and Ghana arepromoting the use and demonstration of drones in
the fields of tourism, health service and e-commerce.
They have established the status as the world’s
experiment site. Fundraising has also been increasing.

●In Singapore, Fin Tech is promoted based on the recognition
that it brings about a fundamental revolution in various fields
not limited to financing. The government is making a positive
approach to foreign countries with the aim of turning
Singapore into a Mecca for demonstration.
●UAE (United Arab Emirates) is taking a strategy of bringing
in overseas start-ups centering on Fin Tech by inviting
Singaporean specialists. (Other than UAE companies, 16
companies of foreign nationality such as Britain, Canada,
India, Italy, Lebanon, Saudi Arabia, Mauritius and Singapore
are participating in UAE’s Regulatory Sandbox.)●After succeeded in Fin Tech new business (small lot
securitization by crowdfunding) in Estonia, the world-famous
Japanese company Crowd Realty is now conducting
discussion/coordination with the Sandbox team in
Singapore, Hong Kong and UAE towards Sandbox utilization.

● Besides Western companies, some Japanese ventures areproceeding with demonstration, setting a course for aseries of business process ― demonstrate drones in
Rwanda or Ghana, and export/sell them to all over theworld with Tanzania as a base, and then list stocks in
Singapore.
● The world share of the drones manufactured
in Shenzhen, China, accounts for about 80%.
It is making strenuous efforts indevelopment, demonstration, andindustrialization by the joint cooperation of
government and people. Export value stands
at 472 million dollars, 7-fold increase from ayear earlier. Almost of all the export goes to theWest and Hong Kong.

Regulatory “Sandbox” System in Japan＜Legal position of demonstration＞•

Social experimental demonstration of new technologies/business models unassumed
under the current regulations - which is conducted through certain procedures based on
the cross-sectoral/across-the-government promotion system in the environment whererelated regulations are not applied directly due to the limited participants and theimplementation period.

＜Basic schemes＞•

For the implementation project of new technologies/business models suggested byprivate entities, after hearing the opinions of the committee, related administrative
agencies confirm that the project in question is in line with the regulatory enactments,
etc., and then authorize it.

•

The administrative agencies or the committee that authorized the project in question
supports the demonstration. After the demonstration, they consider reforming eachindividual law based on the collected data so that other private entities could use the
new technology/business model.

＜Sandbox implementation system＞•

Establish a cross-sectoral/across-the-government promotion system for Regulatory“Sandbox” System.
- Accept the proposals from private entities at home and abroad widely and unitarily,
and then allocate them to related administrative agencies.
- Establish a committee that evaluates from the technical/objective viewpoints theeffect innovation brought about by new technologies/business models
implementation projects has on the whole range of Japanese economy.

35

Reference Material #1

NextGen IoT Acceleration Lab
3rd & 4th Selection Meetings forInnovative IoT Projects

IoT Lab Selection

List of Supported Projects

0- Contents 3rd Meeting Finalists① [Grand Prize] Coaido Inc. [Turn Tokyo into a city with advanced lifesaving systems throughintroduction of IoT into SOS emergency apps and fixed-line phone emergency contacts]・・・・・・・・・・・・・・・・・・・ ２② [Second Prize] Hiroki Kobayashi (the University of Tokyo) [Time-space information network using
the sensor network attached to wild animals]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ ３③ [Special Jury Prize] Keychain Pte. Ltd. [IoT Decentralized Authentication Platform by blockchain]・・・・・ ４④ THE Power Grid Solution Ltd. [Global launch of the capacity building system for power distribution
companies]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ ５⑤ Mu Ltd. [Gastrointestinal imaging test system by mobile endoscopic mini robot]・・・・・・・・・・・・・・・・・・・・・・・・ ６⑥ CLUE, Inc. [Remote control system for multiple units based on the cooperation between drone makers]・ ７⑦ fukule inc [Aiming for the４th Industrial Revolution of Japanese textile industry originated in Kiryu]・・・・・ ８⑧ ASIA AIR SURVEY CO., LTD. [Total Platform of Sports × IoT × Entertainment]・・・・・・・・・・・・・・・・・・・・・・・・ ９
4th Meeting Finalists⑨ [Grand Prize] O:Co.,Ltd. [The world’s first service to improve sleep/productivity through visualizationof a body clock]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・

10⑩ [Second Prize] OTON GLASS [OTON GLASS - Smart Glass enhancing reading ability -]・・・・・・・・・・・・・・・・・ 11⑪ LEXER RESEARCH Inc. [Production management innovation and reinforcement of monozukuri(manufacturing) basis through the optimization of new AI/massively parallel simulation]・・・・・・・・・・・・・・・・・・

12⑫ Arblet Inc. [Vital network supporting Elderly People Watching System]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 13⑬ TANAKA ENGINEERING Inc. [Automation of IR cut filter visual inspection from the viewpoint of glass
precision machining industry]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 14

Coaido Inc.

Grand Prize- Turn Tokyo into a city with advanced lifesaving systems through introduction of IoT into
SOS emergency apps and fixed-line phone emergency contacts -Regional Economy
Vitalization
Category

Outline of Project
The average arrival time for an ambulance in Tokyo is the longest among the municipalities in Japan, and the returnto-the-community rate of cardiac arrest patients in need of emergency procedures is one of the worst in the country.
The capital city is failing to take advantage of its world’s best environment for AED installation. With quick
cardiopulmonary resuscitation (CPR) and the use of AEDs, the return-to-the-community rate of the patients improves
10 times. ”Coaido119” is an app being developed by Coaido Inc., whereby an emergency case finder calls an
ambulance and calls for help to people around with a 119 call from the app. The app registrants who receive a notice
can rush to the scene based on the information showed on the display. The app also makes calls simultaneously tothe fixed-line phones at neighbor establishments equipped with AED, conveying information on the patient situation
correctly, thus improving the AED usage rate dramatically.

Outline of Required Support・Financial support (Public support for technologicaldevelopment, funds, etc.)
・Escort-type support such as guidance/advice of
mentors

Future Vision
In cooperation with various IoT equipment of othercompanies, realize more effective services. In tandem withmobility services, establish a solution model that ismaterialized even in rural areas. Aim for overseas
development in the future.

Set to be provided only
regionally in spring 2017

Hiroki Kobayashi(Center for Spatial Information Science at the University of Tokyo)- Time-space information network using the sensor network attached to wild animals -SecondPrize
Regional Economy
Vitalization
Category

Outline of Project
In deserted regions, wide-area data collection requires much efforts and also much power energy for automatic collection. The
Center for Spatial Information Science at the University of Tokyo researched non-contact communication mechanism for sensor
information collection taking advantage of the territories or behaviors of wild animals. Record/share wide-area data whilesaving power (many hours) by combining sensors that activate following animal behaviors such as threat behaviors with
network mechanism based on ad-hoc communication. Also for data collection, power supply and recorded informationcollection are done by non-contact communication, taking advantage of animal behaviors. Thus, realized advanced spatial
information network based on the sensor network attached to wild animals. Aim to put the network to practical use as
countermeasures to contagious diseases of livestock, support for detection of landmines, etc. in the areas without
infrastructure such as power sources/information/roads where data collection is otherwise difficult.

Outline of Required Support

Support for measures against
contagious diseases of livestock

Support for detection oflandmines

Support for air traffic control blankarea response

Information infrastructure to
realize real measurement of the
expansion speed of pandemic
diseases

Information infrastructure forinternational support activities

Reception of a signal from aflying aircraft

・Financial support (Public support fortechnological development, funds, etc.)

Future VisionThis project is supposed to make technical measures applicable to the social challenges of the reconstruction workfrom the nuclear disaster. By clarifying the position of these technical measures in the whole framework to solve
the social challenges, and also choosing the way of proceeding towards total optimization in light of consistency
with other measures, we will be able to establish the social meaning of these technical measures in this theme.

Keychain Pte.Ltd.

Special JuryPrize

- IoT Decentralized Authentication Platform by blockchain -Trans-platform
Category

Outline of Project
For explosively increasing IoT, security is a crucial issue in light of cyber attacks such as DDOS attack with a device asa stepping stone that is caused by a weak device connected to the network. Keychain Pte. Ltd. developed
decentralized authentication technology and IoT authentication platform using blockchain. Through blockchain
technology, risks such as “certificate authority hacking”, “hijacking of IoT devices” and “falsification of authentication
history” can be avoided. Also, the technology brings substantial cost reduction to conventional digital certificates.

Future Vision

Outline of Required Support・Financial support (Public support for technological development, funds, etc.)
・Escort-type support such as guidance/advice of mentors
・Deregulation (Deregulation of the Act on Electronic Signatures andCertification, taking decentralized authentication technology into
consideration)

Decentralized Authentication Platform

Hacking resistanceIoT Authentication Platform① Establish decentralized authentication
platforms focused on specific businesscategories/services and inspect their actual
operations. Inspect system auditing.
② Demonstration experiment ofauthentication software installation into IoT
devices③ Experiment of IoT authentication software
installation into hardware (joint study withhardware design/manufacturing companies)④ Demonstration experiment ofauthentication communication between
decentralized authentication platform and IoT
authentication platform as well as between
IoT authentication platforms.
⑤ Launch a joint discussion by the public andprivate sectors toward cross-industrial
standardization. Carry out the proposal toworldwide standardizing organizations.

THE Power Grid Solution Ltd.
- Global launch of the capacity building system for power distribution companies -GeneralCategory

Outline of Project
Export a package of “Japan’s system tools, operation technologies and on-site education to acquire operation
procedure” as a capacity building system intended for power supply companies in India. By adding a system forcollecting power supply equipment information based on IoT to these results, develop a project toward the solutionof economically-growing emerging nations’ challenges such as “frequent power failure”, “power loss and increase of
equipment failure”, and “system stabilization”. Also, by utilizing AI as technology of power system operation, establish
a support infrastructure whereby ordinary people can deal with jobs that are the same levels of those for experts,
while experts can enhance their skills.

Outline of Required Support

IoT analytical functions
・analysis of power loss
mitigation
・analysis of power failure
restoration procedures・analysis of equipment
planning cost・Financial support (Public support for technologicaldevelopment, funds, etc.)

Future Vision
Based on Japan’s technology enabling stable power supply,
they have been working on the export of a package of “electric
system equipment, operation technology, and education forestablishing/advancing effective use of them”, trying to giveroot to it among local people. The development system they
intend to apply this time will make a new merchandise to beexported and fixed in India.

Power distribution
company Value・power loss mitigation
・power failure rate
reduction・equipment management
improvement

Mu Ltd.
- Gastrointestinal imaging test system by mobile endoscopic mini robot -GeneralCategory

Outline of Project
Digestive tract cancer accounts for about half of the cancer deaths in Japan. Problems to hinder the early detection of thiscancer include “pains or embarrassment related to endoscopy using a tube” and ”long hours of examination required for
capsule endoscope”. After many years of research, Mu Ltd. developed a self propelling endoscopic mini robot that can solvethese problems. Already completed a prototype of a movable image sensor that sends intracorporeal image outside the bodyand then makes a diagnosis. Also, aim for the development of a system that enables remote medicine in the regions with no
medical specialists or remote indication by skillful doctors.

Outline of Required Support

Endoscopic
Mini-robot

・Financial support (Public support for technologicaldevelopment, funds, etc.)
・ Escort-type support such as guidance/advice of mentors
・Deregulation (Partial easing of the Medical Practitioners’ Act orreview of the inspection information handling rules)

Operating Endoscopic mini-robot

Endoscopic mini-robot put into mouth
for inspection

Endoscopic mini-robot moving
inside stomach of a humanDriving gear

Image of human stomach wallshot by endoscope mini-robot

Future VisionThis project is expected to realize the early detection of serious diseases and the reduction of medical
expenses. Also, in cooperation with remote medicine, it will enable clinical examination in the regions withfew doctors. In the future, primary diagnosis by automatic examination or AI may ease the burden on
doctors and also bring about revolutionary changes in medical services.

CLUE, Inc.
- Remote control system for multiple units based on the cooperation between drone makers -GeneralCategory

Outline of Project
The process of the drone usage is advancing in the fields such as civil engineering/surveying, and infrastructure

inspection. However, the difficulty of system development by an individual drone maker, the need for dispatching
operators to the site, as well as insufficient labor saving/automation are acting as barriers to the expanded use ofdrones. CLUE, Inc. developed “AeroBase”, an external device that can operate multiple drones by remote control
based on the cooperation between drone makers to solve these problems. The device equipped with the functions ofremote control, real-time data collection/processing, air traffic control flight log provision, etc. is the world’s first.
Work on the drone automatic operation solutions using 4G・LTE as a forerunner in Japan.

Outline of Required Support

HardwareCloud・Financial support (Public support for technologicaldevelopment, funds, etc.)
・Deregulation (Deregulation of the use of 4G/LTE in theoperation of drones and the Radio Law/the Civil
Aeronautics Law related to the beyond visual flight)

Future Vision
Provide industry-classified solutions based on AeroBase and DroneCloud.
By providing solutions for automatic airframe operation, automatic upload of required data to cloud or theirprocessing in the service geared toward civil engineering/surveying or inspections using drone, realize laborsaving/man-saving of the service provision using drone.

fukule inc- Aiming for the 4th Industrial Revolution of Japanese textile industry originated in Kiryu -Regional Economy
Vitalization
Category

Outline of Project
Affected by mass production in newly emerging nations, Japanese textile industry ridden with low wages, a highturnover rate and aging employees, has been in a decline. Kiryu City in Gunma Prefecture, one of the famous
weaving areas in Japan, is no exception to this trend with the number of garment factories decreasing sharply.
Aiming for the revival of the waning garment factories in Kiryu, the founder of fukule inc, who was born and raised ata garment factory in Kiryu, launched a mass customization service catering for individual preference by establishing asystem that “shares” unemployed capital of garment factories through exhaustive use of IT in the process other thansewing. Starting from this service, develop a AI-based recommendation function that recommends desired ones fromamong a large quantity of fabric as well as IoT system in the production process.

Outline of Required Support・Financial support (Public support for technological development, funds,
etc.)
・Escort-type support such as guidance/advice of mentors

Future Vision
Aim to be a model case of Japanese garment factory that brings about
the fourth Industrial Revolution of Japanese textile industry originatedin Kiryu.

ASIA AIR SURVEY CO., LTD.
- Total Platform of Sports × IoT × Entertainment -Trans-platform
Category

Outline of ProjectWork on the development of a strategic system for professional sports including soccer, by uniting real-time sensing
system of ASIA AIR SURVEY CO., LTD., sports tactics analytical technology of Kansai University, and motion
measurement/wearable technology of Mizuno Co., Ltd. Also, based on Kansai University’s know-how of guidance andknowledge put into a Big data base, expand an amateur sport guidance service. Furthermore, by providing
spectators with players’ information in real time and sharing the perspectives of managers or players, turn sports into
entertainment whereby spectators can feel bodily sensations as well.
ASIA AIR SURVEY CO., LTD

Outline of Required Support・Financial support (Escort-type mentor support, funds, etc.)
・Escort-type support such as guidance/advice of mentors
・Deregulation (Deregulation of the Radio Law, Official rules ofvarious sports associations, Personal information handling, Civil
Aeronautics Law, and Broadcast Act)

Future Vision
Aim to contribute to the development of the sports field through global
development of a platform that can make a quantitative judgment
about the physical abilities of people enjoying outdoor sports. By
establishing world-standard horizontal platform business model throughservice release, bring about disruptive innovation against enclosurebusinesses of sport analysis or wearable devices. For the future,proceed with the consideration of collaboration with video and also anapplication to indoor sports.

Kansai University

Mizuno Co.

O：Co., Ltd.

Grand Prize- The world’s first service to improve sleep/productivity through visualization of a body clock -Outline of Project
Co-developed a watch-style device (non-invasive, the world’s first) that can visualize a body clock by multiple
biosensors as well as a body clock coaching app based on CBT-I (a cognitive-behavioral therapy for insomnia) for thedevice users, thus developing a business aiming to decrease a national disease, insomnia. Aiming at a creation of asociety where improvement/prevention of psychosomatic disorders caused by insomnia, circadian rhythm sleep
disorder, jet lag, shift work, and disordered body clock can be realized through self-care, call on hospitals to
encourage their patients to use the service above. Also, develop B2B service that improves productivity byaddressing mental health management, industrial accident prevention, and setting of optimal working hours.

Outline of Required Support(3) CBT-i coaching(2) Analysis(1)Data acquisition(machine learning) (sunbathing & sleeping time)from device

・Financial support (Public support for technologicaldevelopment, funds, etc.)
・Escort-type support such as guidance/advice of mentors
・Support for standardization, establishment of rules, etc.
(Stress check rules, sleep information handling, elimination ofregulatory gray zones for the Medical Practitioners’ Act/thePharmaceutical Affairs Law, etc.)

Future Vision
In cooperation with various IoT equipment of other companies, realize more effective services. In tandem withmobility services, establish a solution model that is materialized even in rural areas. Aim for overseas developmentin the future as well.

OTON GLASS

Second Prize- OTON GLASS ー Smart Glass enhancing reading ability -Outline of Project
Develop, manufacture and sell “OTON GLASS,” the eye glasses that read out characters. When a user puts on OTONGLASS, it takes characters before their eyes on a camera, converting them into text data through character
recognition technology, and then read them out as a speech sound, thus enabling the user to understand thecontent. Although the device’s fundamental functions are completed, the development of a trigger for natural
photographing is still required. They work on the development of services including educational support using
automatic speech sounds and life-log data.

Outline of Required Support・Financial support (Public support for technologicaldevelopment, funds, etc.)
・Escort-type support such as guidance/advice of mentors
・Deregulation (Inspection for privacy issues caused byglasses-style devices, communication-related problems, etc.)

Future Vision
Solve the potential problems caused by the current
situation and also manufacture/sell miniature edition
products. Eventually, deliver OTON GLASS to those who
really need it, thus creating “a world where everybody
can read characters” intended especially for the visually
impaired, people with reading disorder (dyslexia), etc.

Cloud
Voice

Character
information

People who have no
visual/intellectual disabilities
but have so much trouble
on reading

People with substantiallypoor eyesight or visual
field defects

People who travel to a
country with a different
language and have difficulty
to read local characters.

LEXER RESEARCH Inc.
- Production management innovation and reinforcement of monozukuri (manufacturing) basis through the
optimization of new AI/massively parallel simulation -Outline of ProjectJapan’s monozukuri (manufacturing) depends significantly on the production site, and so the detailed activity
data is often confined to the individual site. As a result, in the light of production management in the global
strategy, cooperation between production site and global management is not enough. This project describes
the realities of each site in detail by production simulation, and also realizes the optimization of production
schedule of each site in the global manufacturing industry dynamically through massively parallel simulation
under development.

Outline of Required Support

Production Request(MRP)・Financial support (Public support for technologicaldevelopment, funds, etc.)

Future Vision
The technology developed in this project should becore technology for the manufacturing industry as
the basis of Japan to fight globally. It is necessary
to develop this technology as public service tosupport the country instead of retaining it only as
our company’s property. Aim to spread this service
widely once the technology is developed
successfully.

Global Production
Headquarters

Factory A Operation program (early-stage)
Continuous
programcorrectionbyoptimization

Operation program (in progress)

Optimization subject

Optimization results

Optimization subject

Dynamic optimization by real-time
massively parallel simulation
Optimization subject

Optimization results

Optimization results

Operation order

Factory C

Operation implementation

Factory B
Operation implementation

IoT in production line

Arblet Inc.
- Vital network supporting Elderly People Watching System -Outline of ProjectThis project demonstrates the prediction of biotransformation such as dehydration and excretion using “MIW Wear”,
a wearable device that can measure blood pressure continuously. Currently, due to the aging population, thenumber of people in need of nursing care is increasing sharply. Thus, against the backdrop of the shortage of
caregivers, the operational efficiency improvement is required. It is estimated academically that biotransformationsuch as dehydration and excretion are related to blood pressure, and so they can be predicted with high efficiency
by using AI. By detecting multiple biotransformation using “MIW Wear”, we aim for the realization of smart
monitoring service without the need of multiple nursing care equipment.

Outline of Required Support・Financial support (Public support for technological development,
funds, etc.)
・Escort-type support such as guidance/advice of mentors

The world’s first wearable
device that can measure
blood pressure continuously

Future Vision
Aim for the realization of intelligent monitoring service by
predicting multiple biotransformation through the bioinformation measured continuously by “MIW Wear”. This project
aims to contribute to the resolution of manpower shortage in
the nursing care fields through the partial automation ofmonitoring service and operational efficiency improvement.
Following the introduction in Japan, we aim to launch into
foreign countries ridden with the same kind of problem.

Solve the communications
problems in the nursing carefields using edge servers.

Nursing care AI that predicts
biotransformation throughbig data on the cloudTANAKA ENGINEERING Inc.
- Automation of IR cut filter visual inspection from the viewpoint of glass precision machining industry -Outline of Project
According to the IR cut filter quality standard, chipping/flaw/water stain of10μm at the smallest is regarded asmaterial defects. Currently, appearance inspection is mainly done visually, making an eradication of the flow of
defects caused by variations in judgment a challenge to be tackled. Also, the inspection requires intenseconcentration, making it difficult to secure workers. Develop an appearance inspection machine that does IR cut
filter inspection and separation of defective products automatically, and put inspection and separation of defective
products into a database by multi-spectrum based on the wavelength responding to visible light region andspecified substances, and analyze/judge by deep learning, and then try to detect within 0.5 second, which is fasterthan visual inspection.

Outline of Required Support

Current manufacturing process(Selection by 100% visual inspection)
Cutting

Visual inspection

Automatic inspection & selection

・Financial support (Public support for technologicaldevelopment, funds, etc.)
Databasing of good item selection knowledge(good item selection＋visual inspection)
Visual inspection
Cutting
Automatic inspection & selection

Databasing

Future Vision
Aim to establish basis for IoT introduction into thefactory. If IR cut filter appearance inspection is
automated, it will make an advanced case that makes
a way for appearance inspection of precision glassprocessing as well as IR cut filter, which will lead to thesubstantial expansion of application range.

Introduction of AI automatic inspection(abolition of visual inspection)
Cutting

Selection &complete AI automatic inspection

ShipmentReference Material #2

IoT Lab Demonstration(IoT-related Demonstration Budgets)
FY 2017 Implementation Summaryby Themes

- Contents 1. New Industry Model Creation Base Development Project for promoting IoT（shift of budget amount)
FY2015 Supplementary: 1.12 Billion yen
FY2016 Initial: 2.04 Billion yen / Supplementary: 1.1 Billion yen
FY2017 Initial: 2.34 Billion yen / Supplementary draft: 0.3 Billion yen
FY2018 Draft: 2.54 Billion yen① [Manufacturing] Smart Factory Demonstration Project ・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・② [Infrastructure] Social Infrastructure Advancement Promotion Project ・・・・・・・・・・・・・・・・・・・・・・・・・・・③ [Industrial Safety] Independent Safety Measures Advancement Project(Oil refinery, Chemical plant, etc.)・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・④ [Aircraft] Aviation System Advancement Project for Supporting Piloting, etc.・・・・・・・・・・・・・・・・・・・・・・⑤ [Smart Home] Promotion Project for Improving Data Usage Environment in Smart Home ・・・・・・・・・⑥ [Tourism] IoT-based Omotenashi (Hospitality) Demonstration Project ・・・・・・・・・・・・・・・・・・・・・・・・・・・⑦ [Public Administration] New Indicator Development Project Using Big Data ・・・・・・・・・・・・・・・・・・・・・・

２. R&D/Demonstration Project for the social implementation ofadvanced automated driving system・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・

2
3
4
5
6
7
8
9

(shift of budget amount)
FY2016 Initial 1.88 Billion yen
FY2017 Initial 2.60 Billion yen
FY2018 Draft 3.50 Billion yen

1① [Manufacturing] Smart Factory Demonstration Project<Creation of advanced cases: a task to be tackled> In Japan, where “Bottom-top approach to management” is the mainstream, efforts for smartification
have been made to some extent mainly for each single factory. Meanwhile, efforts for total
optimization are not enough, and especially efforts for smartification beyond factories orcompanies in a supply chain are falling far behind.
 Thus, work on the promotion of national efforts through visualization/sharing of results ※ bysupporting creation of such advanced cases.
<Formulation/demonstration of data profile for the international standardization>
 Formulate a data profile (compatible format of data) plan that will be the key to sharing/using
data beyond the border of companies, and demonstrate it in the advanced cases by key issues
created by the above. Also, utilize it in the future discussions on international standardization, etc.
Examples of creation/permeation of advanced cases through specific challenges（solution）setting
Design & proposal
supporte.g.) System that enables a required processing without regard for equipment specifications under coreference through function to convert different processing programs into the programs appropriate forthe object equipment by machine tools.

Receiving/placingof orderse.g.) Multiple factories share order situation or operation situation, aiming to bring about the leveling ofbusiness fluctuation or the increase of order opportunities.

Production
optimizatione.g.) System that enables predictive maintenance, product traceability securing, etc. by establishing across-industrial mechanism for integrated management of some major manufacturers’ equipment data.

Quality control
Distribution &inventory controle.g.) System that enables production efficiency improvement or lead time reduction by matchingcompany workers with equipment or works in view of their skill and seeking the optimization of people
as well as machines.
e.g.) Realize the visualization of supply chain connecting production and distribution by informationinterface while confirming the effectiveness of block chain basic technology.

Demonstration through compatible data format formulation, etc. & advanced cases above
Data profile
standard, etc.

Draw up a data profile standard plan or a security guideline plan, which are compatible format toshare/use data acquired from PLS, NC devices, robots, etc. between companies.

*Work on the disclosure of the results of standard model, etc., permeation/standardization by business organizations, sharing/propagation of the results by the
manufacturing IoT organizations (IVI, RRI), etc.

2② [Social Infrastructure] Social Infrastructure Advancement Promotion Project The efficient and sustainable business operations in the field of social infrastructure is a majorsocial issue. Amidst the dwindling population, declining birthrate and aging population, social
infrastructure businesses are facing the decrease of return on investment following
deterioration/glut/decrease in demand of facilities.
 As for such a social infrastructure field, carry out standardization for introducing IoT into a series ofbusiness processes (facilities management, operational management), aiming for management
streamlining through the use of IoT. Thus, enhance the efficiency of routine operations as well as
realize optimum asset maintenance management, etc.
 In this project, targeting at water utility, conduct a demonstration while considering the standardizationof data format and security standard of linking systems.
<Details of demonstration>

Improve the environment of data usage by
establishing the rules of data circulation
between applications and field equipment, etc.,(devices or systems). Thus, aim to streamline
management and also prevent the occurrenceof vendor lock-in.
App A
応
答

アプリB
DemandResponse

要
求

アプリC

応 Response
答

Demand要求応 Response
答

標準API
Standard
API

Standardization
データ流通のto establish
ルールを定める
data circulation
rules

１．Effective asset management in lightof LCC

２．Centralization of operation
management following businessexpansion

Support effective facility renewal plans by
Operate facilities effectively by conducting
running a simulation for consolidation ofoperation monitoring and remote control
facilities/equipment based on information on
through the centralization of operation
population change, operation, maintenance, etc. information/water supply information ofmultiple facilities dotted in a wide area.
※LCC：Life Cycle Cost
広域センター

運転監視
アプリ
標準API

効果評価用ツール

Standard
Interface
標準インターフェイス
Demand

浄水施設
PLC

制御機器

センサ

Control devices

Sensor

標準API
応 Response
答

会
計
シ
ス
テ
ム

料
金
シ
ス
テ
ム

施
設
台
帳

X社

SCADA

そ
の
他
シ
ス
テ
ム

Concept image of standardization

b浄水場

a浄水場
標準APIに則したモジュール

Systemシステム

Devices
デバイス
Water purification facilities PLC

要
求

Other
systems

応 Response
答

標準APIに則したモジュール

facility
account book

要
求

Rates
systemDemand

Z社

利用

（標準化）

Demonstration system:
effects evaluation tool
実証システム：効果評価用ツール

Accounting
systemDemand

要
求

App C

App B

アプリA

<Examples of IoT-based promotion of streamlining>

X社 標準APIに則した
モジュール
PLC

PLC
PLC

標準APIに則した
Y社
モジュール

GW

Y社 標準APIに則した
モジュール
PLC

PLC
PLC

3

③ [Industrial Safety] Independent Safety Measures Advancement Project(Oil refinery, Chemical plant, etc.)
 In the fields of industrial safety (Oil refinery, Chemical plant, etc.), implement a demonstration of themechanism for early detection of abnormalities. based on the analysis of the real-time operation
data (temperature/pressure/the amount of flowing, etc.) acquired continuously through sensors,etc.
 Based on the confirmation of effectiveness of the new mechanism above, reflect it in the new regulatory
system for the High Pressure Gas Safety Act (Super Certified Operator System), promoting the
introduction of IoT, etc.
<Case examples of demonstration>

1 .Constant monitoring of operation condition (Early detectionof abnormalities/warning signs)• Alarm indicating“abnormalities’Old• Longer detection time
→ Larger impact on
production Steady state
Upper-limit alarm

Warning signs

New• Alarm indicating “different
from usual’ state• Shorter detection time

<Regulatory system realizing advanced
independent safety measures>Super Certified
Business Operators

Regulatory incentives

Certification requirements (added)
according to safety
・Use of IoT, big data, etc.
capability→ Smaller impact on production
・Implementation of advanced risk
assessment• Approval of new
・Evaluation of safety assurance
inspection methods
Organically ability by third parties, etc.

•
linking
Certified Businessdemonstration
Operators
and regulatory
Lower-limit alarm
Certification requirements
system・Establishment of a specialist
Time elapse
organization related to safety•
・PDCA implementation
2. Establishment of a piping corrosion prediction model, etc,
・Thorough education/training, etc.
State management index
Early detection

Establish a prediction model, etc. that enables an early
detection of abnormalities of equipment by collecting andanalyzing data of internal piping corrosion at oil refineries,
etc./external corrosion under a heat insulator at chemical plants.

Business Operators

Reduction of thefrequency ofinspections leading tolong continuous
operations
Encouragement of“notification” of minorchanges in facilities,
etc.

4④ [Aircraft] Aviation System Advancement Project for Supporting Piloting, etc.
 Global air transportation demand is expected to increase at an annual rate of about 5% in years to come.
While the number of pilots required globally is predicted to double in 2030, the number of shortage is
expected to amount to as many as 8,000 per year, raising concerns for the shortage of skilled pilots.
 Based on the use of accumulated flight data, etc. and AI technologies, conduct a demonstration for
the realization of advanced, safe aviation systems, including pilot support system for changes of aflight plan in bad weathers, which is currently dealt with by pilots manually.

<To date> Each agent uses data individually.
Air traffic
control data

Meteorologicaldata

Value chain of transportation

Aircraftmanufacturing

Flight data

Air traffic congestion

FlightTransportation
service

Piloting basedon pilots’
experience･Safety･Low fuelconsumption･Comfort

Shortage of pilots<Future> Best route choice in bad weather/air turbulence/emergency situation(Safety・Comfort・Low fuel consumption)

FlightTransportation
service･Safety- Meteorological data
- Air traffic control data
- Flight data

Transmission to
the following
aircraft

AI analysis basedon accumulated
data

Own aircraft/surrounding
situation

Weather condition

Precedingaircraft/surrounding
situation

Air traffic control situation(including other aircrafts)

Aircraftmanufacturing･Low fuelconsumption･Comfort

Aircraft that can choose the best route basedon the synthetic analysis ofmeteorological/air traffic control/flight data

→ Aircraft substitutes a part of added value of pilots.

5⑤ [Smart home] Promotion Project for Improving Data Usage Environment in Smart Home In the future, with the increase of household equipment coordinating each other, the quantity/quality ofaccessible data will increase. Thus, it is expected that innovative data coordination services are createdbeyond visualization of energy consumption or On/Off operation of household electrical appliances,leading to the solution of social problems (alleviation of domestic duties, senior citizens policy, stressfree society, etc.).
 Through the demonstration, draw up common guidelines, etc. for the issues in data coordination withother companies (①data profile, ②security/product safety, ③privacy and data usage rules), and workon the development of connected environment required for the creation of new services.
○ Through the corporate consortium made up of housing<Concept image of the provision of life data coordination services>manufacturers, household electrical appliance manufacturers,
electric utilities, service providers, etc., establish connectedenvironment whereby equipment wired into the Internet isUsersbrought into households, enabling to acquire/provide data inan open module-oriented manner.
Housing Manufacturer Fitness
Home Delivery
Shopping Transportation Private car Childcare/education Meals
Tourism○ By utilizing various data related to households, conduct
Servicedemonstrations for the creation of use cases, such ascomprehensive services in the product life cycle and lifestyle- Providers
related services in line with user needs.

<Development of Connected Environment>①Data profile

Service providers adjust data catalogues in order topromote the use of equipment data, etc.

Life Data Coordination②Security/Product safety

Adjust security requirements imposed on each entity
or the items related to product safety including
remote control of equipment.

③Privacy data
Adjust the privacy data circulation mechanism assuming
participation of various equipment/service providers aswell as the appropriate acquisition of consent.

IoT household electric applianceDeviceManufacturers/
Web Service
Providers

IoT devices

Services

Information

6⑥ [Tourism] IoT-based Omotenashi (Hospitality) Demonstration Project Aiming to realize Omotenashi services, conduct a demonstration whereby service providers
share/use date related to the attribute information (sex/age/nationality, etc.) and action history(accommodations, shopping, transportation, etc.) of foreign tourists visiting Japan based on theirconsent in order to provide various services, etc.
 In this demonstration, in addition to response to institutional aspects of individual service, lay down
rules of data format, etc. for sharing/using data between various service providers who havedifferent systems, etc., as well as conduct local demonstrations in 10 regions in the country.
KushiroKumamoto

Sanriku

NagasakiTakamatsu

Kanto

Omotenashi
Platform
San-inAsakusa

Fukui

Analytical Base

・Foreign tourists visiting Japan registered for
Omotenashi Platform can enjoy the service at Local
Platforms nationwide.
⇒ Through information sharing with Omotenashi
Platform, simplify the procedures of the launch of
Local Platform services.（introduction of One-stop
Service）[Details of Implementation]
Establishment of “Omotenashi Platform”
・Realize information sharing between various service
platforms.

ShibuyaEstablishment of “Local Platforms”

ID --Attribution information--History information

Other Platforms

・Through Local Platforms, service providers cananalyze data accumulated in Omotenashi Platform.
⇒ Local Platform is utilized in tourism strategy etc.

・Provide various services in cooperation with
Omotenashi Platform.

Consideration of regulations/rules
・Consideration of standardization of privacy policy andterms of service required for the realization of
information sharing, personal information handling,etc.

7⑦ [Public Administration] New Indicator Development Project Using Big Data
 Amidst the mounting importance of the speedy policy making, the use of Big Data contributing
to the early, exhaustive grasp of economic trend is considered to be a task to be tackled.
 Thus, develop a new indicator that enables adequate policy/decision making by grasping
economic activities quickly and accurately based on POS data owned by private companies, Big
Data including SNS data etc. accumulated on cyber space as well as AI technology.
 Through the implementation of statistical survey by a new method based on Big Data, theeffects of the reduction of the burden on the reporters are also expected.

【実証内容】In FY 2016 & 2017, developed the indicators below with greater need for speedy report that can grasp economic trend moreaccurately, disclosing them experimentally.
・”POS electronics retail store trend indicator”, “SNS×AI business sentiment index (SME AI, watcher AI)”, “SNS×AI industrial production
forecast Index”
From FY 2018 onward, implementation of statistical survey by a new method and creation of new businesses based on SNS×AI
technology are planned by the government and the private sector, respectively.
<Development of a new indicator: September 2016- March 2018><Experimental release: July 2017- March 2018><Social implementation April 2018->
Grasp the weekly sales trend using POS information of household appliances retailers.
┌─────────────────────────── Gfk Japan ────────────────────────────┐HouseholdAppliances
Retailers
25 companies:
about 3,500 storesdata
transfer

POS data
Concentration

各社POS
各社POS
POS
data Of
データ
データ
the companies

Data
Cleaning

Data
Collection

All concentrated
data

data
transfer

POS household
appliances
retailer trend

Data inspected[Government] Implementation of
the statistical survey by a new
methodBig data-based pilot survey (implementation scheme)
Reduce the burden on the reporters using Big data such as POS.
①Request for
Cooperation

Government(METI)①25 companies: about 3,500 ②Adjust collection/addition ③Matching with about 2.3 million
stores,Collect about 4
subjects to 商動丁 2
product masters. Collect/add
million record (2GB) POS
survey subjects (23sales total and sales quantity
data.
companies: about 2,500
according to prefecture &stores)product classification.

⑤Collection ･Result of analysis

Survey Subject(large stores specializing in household electric
appliances)④Survey slip
（copy）③Survey slip

②Big Data of
POS etc.

Private Business Operator

Grasp daily business sentiment using Twitter information.

“Customer response isvery good recently. The
economy will look upslightly. ”→positive“The eventual backlash from theconsumption tax increase is
expected for sure. I anticipate
effective countermeasures by thegovernment. ”→negative┌───────── Nomura Securities Co.,Ltd. ─────────────────────────────────────┐

Twitter

Tweet including
economy-related
words“Sounds like an economy
watcher！”

keyword extraction

Tweet related
to economy

SNS businesssentiment
index“Sounds not like an economy
watcher！”

AI-based extraction

AI-based sentiment evaluation•調査票の作成（毎日）
調査票作成•個票審査（毎日）•POSデータを受領（毎日）

公表・納品

データ受信

集計・分析

分類符号化

•フォーマット変換（毎日）
データ受信 •エラーチェック（毎日）•サマリ集計・サマリ審査（毎日）•結果表作成、秘匿処理（毎週、毎月）集計・分析 •分析レポート作成（毎週、毎月）•商品マスターとマッチング（毎日）
分類符号化•商品マスターのメンテナンス（毎日）•外部公表（毎週、毎月）•個票、集計表（秘匿前、秘匿後）、分析レ
公表・納品 ポート（内用、外用）（毎週、毎月）

調査票作成
(他計式)

[Private sectors] Creation of new
businesses based on SNS×AI
technology

Twitter/blog-based IIP (index of industrial production) forecast.
┌───────── Nomura Securities Co.,Ltd. ─────────────────────────────────────┐

Twitter/
Blog

Tweet including
economy/busines
s related words

Collect/add thenumber of items“Leave home early withoutworking overtime today.”→others“Have to work overtime again.
I’m tired.”→heavy workload

keyword extraction

AI-based extraction

IIP Forecast
Index

Time-series Model Forecast

8⑧ [Mobility] R＆D/Demonstration Project for the social implementation of advanced
automated driving system

Objective and project overview:
In order to contribute to the promotion of energy saving in the transportation sector, this project considers the technology,
operating environment, etc. required for the social implementation of advanced automated driving system through its
demonstration, etc., taking safety/social acceptability/economy/global trend, etc. into account.
⇒ advanced automated driving system: Convoy Driving, Automatic Valet Parking, and Last One Mile Automated Driving basedon the use of exclusive spaces, etc. (terminal transportation system)
Convoy Driving

・Choose demonstration site in FY
・Demonstration experiment at the test course in
FY2017

Future vision: Realization of the convoy truck driving withover 3 unmanned trucks following on the highway at night
MannedLast One Mile Automated Driving•

Choose demonstration site by
public subscription in FY2016
Demonstration experiment
expected by FY2018

Future vision：Realization of
the new transportation service
based on the exclusive
zone ”Last one mile” thatconnects the nearest station,etc. and the final destination

Demonstration experiment in FY2018

Future vision: Realization of the Automatic valet parking at
exclusive parking lots (with no pedestrians)

Implementation systemcoordination: Toyota Tsusho○Test vehicle production/
Unmanneddemonstration experimentpromotion:
Isuzu Motor Co., Hino Motor Co.,
unmanned
Mitsubishi Fuso, UD Trucks○Technology development requiredfor convoy driving:
Advanced Smart Mobility Co.,
Efforts required
JTEKT, Nabtesco, Wabco Japan,○Development of electronic linkage technology Nippon Signal Co.
(including the brake)○Evaluation of project model, etc.:○Enhancement of social acceptability
Yamato Transport, Sagawa(Demonstration starts with the convoy
Express, Nippon Express, Japan
including two manned vehicles following), etc. Trucking Association•

Automatic Valet Parking

Implementation systemcoordination: Japan Automobile
Research Institute○Control center specification development:
Fujitsu Ten○Parking control format development:
Aishin Seiki Co.
○Mapping, localizer specification
development: Pioneer(Honda Motor Co. HP)

Efforts required○Consensus building between involved parties○Allocation of responsibilities among vehicles/parking lots/control centers(standardization), etc.

①Users (senior citizens, etc.) call foran unmanned automated driving
vehicle and go on board.

②unmanned
automated driving③Users get off the car attheir final destination(one’s home, etc).

※Exclusive space for automated driving
vehicles with no pedestrians, etc.

Neareststation etc.
最寄駅等

Efforts required④ Unmanned vehicle returns automatically.

Final destination
最終目的地(one’s home etc.)(自宅等)

Implementation system-coordination:○Choosing of the exclusive zone for
National Institute of Advanced Science and Technology
introduction○Establishment of the system t ominimize arrangement oroperating cost, etc.

○development of small electric carts and systems:
Yamaha Motor Co., Hitachi, Toyota Tsusho○Establishment of small buses based on automated driving technology:
SB Drive, The Japan Research Institute9