Olive

Olive: Mitou - Solve

29 September 2023

Who We Are

Olive

We "Sense" You● Interpret emotion from biodata (heart rate, respiration rate, etc)
● Enhance user (customer) experience using Emotion AI● Olive tech lets products "sense" and "sympathize" with users
Technological Expertise● Biodata-based emotion recognition● Computer vision, wearables● Forecasting, activity recognition
Partners and Sectors● Partners: Mitsubishi, Fujitsu, Toshiba, etc.
● Sectors: education, telemedicine, tourism, mobility, office, shopping
Our Members● 50% international staff (55% of engineering team)● Primary language: English● International students, and internationally-minded students welcome!
○ Your English does not need to be perfect, but you must be comfortableworking in English!
2Biodata

Challenge 1: Face-Down Detection SystemOlive

Issue: Detecting Downward Faces in AI Education Systems● Young students often lower their heads, making facial detection difficult→ Without face data, the system lacks critical input

Solution: Face-Down Detection System● Ensures student presence is captured when face is down
→ Use top-of-head landmarks (nose, ears) for detection and inference?

Target Users● Education Sector. Mainly classrooms, but also self study situations→ This means various different sensing environments

Face-up: successful detection

Technical Specs● Real-time operation on: Raspberry Pi, Chromebook, and Windows● Utilizing Python

Message from Engineering Team: "This issue affects the essential input stageof our pipeline. The right solution can greatly improve our educational AI
products. Let's solve this together!"3

Face-down: no detection

Challenge 2: Privacy-Preserving Tracking SystemOlive

Issue: Recognising Repeat Customers While Preserving Anonymity● Want to know if shoppers are repeat shoppers, or if they are actually staff● Need to do this while preserving people's’ privacy

Solution: Privacy-Preserving Tracking System● Obtain enough information to track people in shop, but must preserve privacy● We need ID, and details like age and gender→ How to obtain and store enough information, while preserving privacy?

Target Users● Shopping→ This means various different sensing environments

Technical Specs● Real-time operation on various devices: Raspberry Pi, Windows, and Mac● Utilizing PythonMessage from Engineering Team: "This is a current issue, and implementing it
correctly will have a direct impact on our existing deployed systems.
This is a great opportunity to work on a live, pressing problem!”4

ID:1
Age: 40s
Sex: Male
Staff: No

ID:3
Age: 30s
Sex: Male
Staff: No

ID:2
Age: 40s
Sex: Female
Staff: No

ID:4
Age: 30s
Sex: Male
Staff: YesChallenge 3: Purchase Intention Predictor

Olive

Issue: Limited Number of Sales Staff Makes Sales Difficult● There are often situations where there are many customers in a shop
● How do sales assistants focus their efforts to optimise sales?

Solution: Purchase Intention Predictor● Can we determine which customers are most likely to buy something?
→ 100% accuracy not required, even a small amount of info is useful!

Target Users● Shopping→ This means various different sensing environments

Technical Specs● Real-time operation on: Raspberry Pi, Chromebook, and Windows● Utilizing Python

Message from Engineering Team: "This is a completely open challenge. Feelfree to come up with a suitable scope, approach, and solution. We want tohear your ideas!
5

Most Likely
to Purchase
Least Likely
to PurchaseContactOliveWebsite● https://www.01ive.co.jp/
My Email● billy-dawton@01ive.co.jp
Please feel free to ask any questions, we are looking forward toworking with you!

6