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FoodAI

The project aims to create a system for automatic food recognition.

Applying image processing techniques, the platform captures - at the right moment - few still images of trays with meals appearing in the field of view of a RGB camera. Subsequently, using deep learning paradigms the system has to localize and recognize each element composing the meal, in a fine-grained fashion. The actual situation with which people arrange their dishes on trays is very varied, as is the number and appearance of dishes that may be present. 

Goals: 
The module can be integrated, for example, in automatic check-out systems in corporate or student restaurants, but also as a checker for controlling the exact correspondence of the prepared meals with respect to those requested.
Date: 
Monday, 1 June, 2020
Duration: 
1 y
Partners: 

Sidera ICTease

Funding: 
private