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TUNA SCOPE is an AI model that instantaneously determines the quality of a given tuna based on a cross sectional tail scan.
The Tuna Export Business is Utilizing AI TUNA SCOPE
(JAPAN, 5/3/2020)
Dentsu Inc. and Misaki Megumi Suisan Co., Ltd., are conducting Tuna export operations certified by an AI known as TUNA SCOPE for quality evaluation.
The business has recently been adopted by the Japanese Fisheries Agency for their Seafood Export Support Program. Inheriting its examination technique of the tail’s cross-sections used by skilled Japanese Tuna wholesalers, Misaki Megumi Suisan has implemented Dentsu’s AI TUNA SCOPE within its own Tuna purchase. They have begun providing TUNA SCOPE certified Tuna ranked as the highest quality to its shops in New York and Singapore.
The AI model instantaneously determines the quality of a given tuna based on a cross sectional tail scan.
By using TUNA SCOPE together with the know-how of seasoned Japanese tuna experts, Dentsu and Misaki Megumi Suisan will continue their effort on developing a new trading standard from a quality perspective and providing exceptional Tuna worldwide.
Quality examination is a skill that is cultivated from a combination of years of training, experience and individual intuition, and each practitioner has their own unique tried and true methods.
About TUNA SCOPE
TUNA SCOPE is an AI-based system developed by Dentsu and Information Services International-Dentsu (ISID) using cross-sectional images of tuna tails to determine tuna quality. The cross-sections of the tails are packed with variety of information indicating the quality of the fish, including taste, texture and freshness, and fat characteristics.
The AI program stores 4,000 tail images, a number equivalent to that an examiner might see on their ten year path to proficiency.
The few seasoned experts in the Japanese market had trained themselves for years before becoming master connoisseurs of the cross section in order to purchase tuna. A collaboration between Dentsu, ISID and the Sojitz Corporation utilized cross-sectional images of more than 5,000 tuna tails based on expert quality determination data and successfully resulted in passing on these skills to the AI program, a body of tacit knowledge that had been challenging for experts themselves to verbalize until now.
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