Software detects food on photos and compiles individualized diet diaries

Wednesday, July 16th, 2008

Dr. Serkan Toto currently works as the first and only Asia-based writer for the TechCrunch network, mainly covering Japan-related technology and web companies for TechCrunch, CrunchGear and MobileCrunch. Serkan also works full-time as an independent web and mobile industry consultant with a focus on the Japanese market. He is sept-lingual, holds an MBA and is a PhD in economics. Serkan... → Learn More

According to yesterday’s print edition of the Nikkei, Japan’s largest business newspaper, researchers from Tokyo University developed proprietary software that can detect and quantify different kinds of food captured on photographs.

The software analyzes colors and shapes to identify which type of food a person plans to eat. It’s also able to determine the size of bowls and plates to detect how much is going to be eaten. The software then classifies the food into different categories such as staple food, fruits, dairy products etc. For future reference, all of the data collected can be stored in the form of a daily diary .

The Nikkei says programming is near completion, with the researchers involved in the development stating the software’s error rate currently ranges between 10 and 20%.

The researchers aim at setting up a dedicated web site for their product by the end of this year. The service will most likely be offered for free.

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