IoT Based Computer Vision System for Nutrition Management
Résumé
As people around the globe are becoming conscious about their weight, consume healthy and low calorie food and keep away from obesity, it's an urge to establish a reliable system with high accuracy and efficiency for calorie and nutrition measurement in fruit/vegetable. The proposed model is developed to assist patients and dieticians to compute daily intake of calories. In this approach, 5 different machine learning models are used to predict classification accuracy. Our system includes camera and intelligent mat to capture the picture of the fruit/vegetable, in order to calculate the consumption of calorie. The proposed model achieves 88% accuracy with different testing-training cross validation dataset.
Origine : Fichiers produits par l'(les) auteur(s)
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