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A Multi-Purpose Food Recognition System Using Convolutional Neural Network | IEEE Conference Publication | IEEE Xplore

A Multi-Purpose Food Recognition System Using Convolutional Neural Network


Abstract:

The objective of this paper is to build the prototype of a personalized multi-purpose food recognition system for the purpose of recognizing the type of food, tracking th...Show More

Abstract:

The objective of this paper is to build the prototype of a personalized multi-purpose food recognition system for the purpose of recognizing the type of food, tracking the caloric content and giving the caloric content of the food, and provide the record of the user’s eating habits. Convolution Neural Network and Image processing techniques have been found increasingly useful in the food industry, particularly for food detection applications. Research in this area suggests of using CNN to improve product quality. Here, We are going to use CNN based automatic food detection system which will be detecting the various food and is designed along with multiple features. This type of approach enhances the user experience of finding and analyzing the type of food that better suits their taste.
Date of Conference: 01-02 November 2023
Date Added to IEEE Xplore: 03 January 2024
ISBN Information:
Conference Location: Chennai, India

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