1/2018
Tokai-Denshi Inc.
The World’s 1st A.I.-Equipped・Portable Artificial Nose (A.I. Nose)～ Portable Odor Detector/Identifier] “Aino-Pro” Development Press Release～※1 (Current Research as of January 15, 2018)

The Shizuoka Cancer Center Research Institute (Shizuoka Prefecture Sunto-gun Nagaizumi-cho,President: Ken Yamaguchi and Deputy Director: Masatoshi Kusuhara) and Tokai-Denshi Inc. (Headquarters:Fuji City, representative: Kazunari Sugimoto) jointly developed an A.I.-based Portable Odor

detector/Identifier which analyzes malodorous components emitted from cancer patients.
1. Background
Issues in the Medical Field
During the advanced stages of cancer, especially inpatients with uterine and breast cancer, occasionally
there is a strong odor or “sick smell”. Patients often canbecome annoyed by the odor, suffer pain, and often
times their medical care life is extremely difficult.
If there is a device that can analyze the disease odor
elements easily with high accuracy, it can help doctors
select the optimum deodorizing method (the method of

Photo 1: Shizuoka Cancer Center Researchtreating the affected part and the type of deodorant).

InstituteThis will allow for specialists to choose which
treatments and how best to apply them to the care of each patient.
Therefore, this device is made possible by the cooperation ofthe Pharma Valley Center (Director: Katsunori Ueda) at theMinistry of Economy, Trade and Industry for the FY 2013 and2014 medical device development project (comprehensivespecialzoningpromotion

commissionfee)"forodormeasurement using odor sensor”, The Shizuoka Cancer CenterResearch Institute(deputy director Masatoshi Kusuhara), andTokai-Denshi Inc.

Up until now, odor measuring devices and the like havebeen on the market. However, since there was no device
capable of identifying the kind of odor like human olfaction,
until now patients have had to rely on the smell of doctors andnurses. At this time, the Portable Odor Detector/Identifier
developed by Tokai-Denshi Inc. has made it possible to
Photo 2: Aino-Pro Exterior

identify dozens of odors. The device consists of artificial
intelligence and a portable simple gas chromatograph, and theA.I. inside the device learns the odor component, thereby making it possible to distinguish odors.

2. Summary
People can easily distinguish odors drifting through the air. This is largely due in part to the work of
about 400 olfactory cells. Odor is absorbed by olfactory cells and is replaced with electric signals andtransmitted to the brain. This time, the disease odor measuring device began with a survey of gas sensors
that can distinguish odors and VOC gases (volatile organic compounds). However, the biggest challenge
was it is difficult to obtain the sensitivity of human olfactory cells and the ability to discriminate odors.
Therefore, we developed a highly sensitive and portable gas analyzer (simple gas chromatograph)capable of separating and identifying nearly 100 kinds of VOC gases, and solved the problem by
installing artificial intelligence.
Through using artificial intelligence, we discover individual features and weak changes. This makes it
possible to identify odors by learning the characteristics of odors in each. .As a sensor that detects odors,a high sensitivity sensor that can detect 5 ppb to 200 ppm using a non-concentrated gas was used. Thiswas using a PID sensor (photoionization detector) and a semiconductor gas sensor. In addition, by using
a 30 m long gas analysis tube (capillary column), the odor gas was separated and the analytical
performance was improved. The odor is analyzed by searching for features using artificial intelligencedetection signals obtained from the surrounding air.

Photo 3：Aino-Pro System Configuration

The device starts with “learning” the sick odor as well as mimicking the human olfactory sense in orderto perform accurate odor determination. We acknowledge that odor detection can be used not only in themedical filed but also in various other situations. As such, we will develop devices specifically tailored tocategorical odor identification rather than universal odor identification. By studying by category, since thekinds of gases that specify odors are almost the same, it is expected that the discrimination ability (correctanswer rate) will be further improved. In other words, odor classification category detection can becustomized to the device such as offensive odor from a livestock farm, a poultry farm, a pig farm, a foodprocessing factory, air pollution of chemical plant, scent development such as food sample, halitosis
measurement, drug or doping inspection etc.
Looking forward to the future, we are looking to prepare a free monitoring machine and recruit
collaborative research laboratories or companies while we continue to develop high sensitivity judgment
and super sensitivity sensors exceeding human olfactory ability. By 2020 we plan to complete the next

generation artificially intelligent electronic nose for commercialization in the medical, drug, pollution,
food, and aroma industry.
This equipment will be exhibited February 2nd, 2018 at "Mt. Fuji Industry-Academia-GovernmentFinance Collaboration Forum 2018" at Plaza Verde, 1-1-4 Otemachi, Numazu City.

Photo 4：Aino-Pro Internal photo during an experiment

Photo 5：(from left) M.Kusuhara,M.D., Ph.D. and Developers

3. Product Specs
Aino-Pro

Gas Sensor

PID（Photoionization detector）,Semiconductor gas sensor
Sensitivity 5 ppb～200 ppm （Isobutylene）

Collecting Pipe

Can measure approximately up to 200 times concentration measurable up to 25

Measurementppt （Isobutylene）

Carrier Gas

Indoor airSample Gas Measurement

Available for Sample bag, Surrounding gas, Thermal desorption tube
Up to 19 different measurement sequences can be set (Column Flow Rate,Measurement Sequence

Makeup Flow Rate, Column Temperature Program, Thermal Desorption Tube
Temperature Program)

Backflush Function

Built-in 8-way valve utilizing a backflush method to avoid column ontamination
It can be set by category of odor (number of input variable nodes, number ofA.I.

hidden layer nodes, learning rate, activation function, parameter update,
overfitting control)

Judgement OutputEasy Operation
PC-less Measurement
Time Table Measurement

A user can make this system learn odor type through 50 ways or 6 stages of odor
intensity.
It has 20 kinds of measurement sequences and can be selected on the PC screen
or measured with the dial type measurement menu..
In the case of PC-less measurement, after downloading from a USB, PC analysis
is possible.
With the time table function, you can program measurements of up to 9 types ofdaily, hourly, constant time interval etc.
Consumable Goods※1

VOC filter, capillary column, various heaters, and pumps

Size and Weight

210 w × 450 d × 320 h, Weight Approximately 10 kg

Low Power Consumption

100 V 350 W or less (Standby time at 20 W, Operating time at 300 W,Maximum 350 W)

4. System Configuration
・Aino-Pro （ Portable Odor Detector/Identifier）
・A.I. analysis software standard
・Windows PC for data collection analysis (Windows 10)…User arrangement
5. Practical Use・Odor analysis
・Environmental analysis
・Halitosis analysis
6. Release Date Complete order production system
Orders will begin on March 1, 2018, shipping will begin from July (scheduled)
Selling Price 3.9 million yen (planned)

standard package will include the Aino-Pro main body and A.I.
analysis software

A separate maintenance contract is required.
(It depends on usage form, existence of version up contract etc.)（※ 1. Consumables , fees, and costs will be charged separately）★★For inquiries or requests for more information★★
Tokai Electronics Co., Ltd. Medical System Equipment Division 2-34-13 Akebonocho, Tachikawa-shi,
Tokyo Olympic Building No. 3 Room 203 TEL:042-526-0905/FAX:042-526-0906

E-mail: info@tokai-denshi.co.jp URL : www.tokai-denshi.co.jp