The food recognition is an advanced technology that utilizes artificial intelligence capabilities to automatically identify and classify foods based on their visual characteristics. This innovation has applications in various areas, including dietary assistance, food consumption analysis, and real-time control of production processes in the restaurant sector. By leveraging state-of-the-art machine learning algorithms and neural networks, food recognition analyzes images or videos to detect and categorize various types of food. This technology not only simplifies food documentation for individuals following specific diets but can also be used in the restaurant industry to optimize processes such as inventory management, order management, and waste control. Food recognition represents a significant step towards integrating intelligent technological solutions in the food sector, enhancing the efficiency and precision of daily operations.
What is Automatic Food Recognition?
Automatic Food Recognition is an intelligent system developed by Eye-Tech, based on the deep learning paradigm, allowing automatic recognition of foods in a photo, for example, taken with a smartphone. The system uses state-of-the-art neural networks which, after a training phase, can correctly recognize about 70,000 out of 75,000 evaluated images (over 90%).
How can it be used?
The entire system is cloud-based. This flexibility allows it to be used on both smartphone or tablet devices and PC and embedded platforms.
Application Scenarios
Automatic Food Recognition can be used in various application areas that require food recognition, both for personal purposes such as monitoring a diet and for industrial purposes such as quality control of production processes or, for example, automatic counting of dishes on a tray.
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An example of an app developed by Eye-Tech for food recognition:
