Title | TUNA SCOPE |
Brand | SOJITZ CORPORATION |
Product / Service | TUNA SCOPE |
Category | D04. Advanced Learning Technologies |
Entrant | DENTSU INC. Tokyo, JAPAN |
Idea Creation | DENTSU INC. Tokyo, JAPAN |
Production | DENTSU LIVE INC. Tokyo, JAPAN |
Production 2 | DENTSU CREATIVE X INC. Tokyo, JAPAN |
Production 3 | AT ARMZ Osaka, JAPAN |
Additional Company | SOJITZ CORPORATION Tokyo, JAPAN |
Additional Company 2 | INFORMATION SERVICES INTERNATIONAL-DENTSU, LTD. Tokyo, JAPAN |
Additional Company 3 | KOOZYT, INC. Tokyo, JAPAN |
Name | Company | Position |
---|---|---|
Kazuhiro Shimura | DENTSU INC. | Creative Director |
Akimichi Hibi | DENTSU INC. | Business Producer |
Ryo Sasaki | DENTSU INC. | Planner |
Daisuke Matsunaga | DENTSU INC. | Art Director |
Taira Kimura | INFORMATION SERVICES INTERNATIONAL-DENTSU, LTD. | General Manager |
Hiroshi Morita | INFORMATION SERVICES INTERNATIONAL-DENTSU, LTD. | Chief Producer |
Keigo Ihara | INFORMATION SERVICES INTERNATIONAL-DENTSU, LTD. | Project Manager |
Yoshinori Tanaka | INFORMATION SERVICES INTERNATIONAL-DENTSU, LTD. | Project Manager |
Michitaka Iida | INFORMATION SERVICES INTERNATIONAL-DENTSU, LTD. | AI Engineer |
Yasushi Miyajima | Koozyt, Inc. | Data Scientist |
Hideyuki Ono | Koozyt, Inc. | Engineer |
Amina Mim | Koozyt, Inc. | AI Engineer |
Hasanur Rashid | Koozyt, Inc. | AI Engineer |
Tomoyuki Kato | DENTSU LIVE INC. | Director |
Tatsuya Murayama | DENTSU LIVE INC. | Chief Producer |
Masaya Ishii | DENTSU LIVE INC. | Producer |
Chisako Hasegawa | DENTSU LIVE INC. | Producer |
Tatsuo Yamano | At Armz Inc. | Producer |
Ryousuke Kametani | At Armz Inc. | Production Manager |
Junichi Ishikawa | At Armz Inc. | Production Manager |
Hitoshi Nakao | DENTSU CREATIVE X INC. | Web Director |
Shogo Hina | AOIRO | Web Designer |
Katsuhiro Uto | WOO inc. | Designer |
Jiro Watanabe | WOO inc. | Designer |
Nobuyuki Isobe | Onkio Haus Inc. | Editor |
Shunkichi Akutsu | Freelance | CG Designer |
Go Aoyama | Freelance | CG Designer |
We focused on cross sections of the tuna’s tail, which hold all the vital information about the tuna’s flavor, freshness and so forth. Craftsmen who worked at markets had long used this technique to examine tuna, but it is said it takes at least ten years to learn to develop the acumen to perform this feat by eye. Utilizing an environment that saw a number of tuna thousands of times greater than a single examiner might see, we photographed a massive number of tuna tail cross sections, and through deep learning, we taught AI to interpret this data, and master the craft’s unexplainable nuances in a single month—an impossibly short time for humans. This project resulted in the birth of a system which could analyze and master the hidden nuances of the examination process, which practitioners themselves admitted were nearly impossible to explain.
"The AI system developed for TUNA SCOPE was turned into a smartphone app and introduced to the quality inspection process in fish factories. As a result, it was able to achieve 85% accuracy compared to real tuna examiners with 35 years of experience in dividing the fish into 4-5 grades. The tuna ranked highest by the AI during this test was branded as AI Tuna and served at a sushi restaraunt in Tokyo in order to test market viability. 12/8/2017 - Prototype development begins 3/1/2018 - Development and successful test 3/5/2019 - TUNA SCOPE introduced to factory 3/27/2019 - AI TUNA is served in Tokyo and introduced as a brand 4/2019 - Brainstorming for use in other industries (agriculture, medicine, etc.) 4/25/2019 - Website launches 5/29/2019- Press release distribution