HealthCam: Machine Learning Models on Mobile Devices for Unhealthy Packaged Food Detection and Classification
We live in a world where most foods and beverages are unhealthy due to their high content of sugars, sodium, fat, among others [1]. Although many of these foods, especially packaged foods (snacks) for children have nutritional information, this is not very clear, and its interpretation is not easy for a normal person. For this reason, HealthCAM is developed. HealthCAM is a mobile application that uses augmented reality and machine learning techniques to detect the type of snack and indicate to the user through a visual warning on the phone's camera in real time the degree of sugar, sodium and fat that the snack has.
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HealthCam: Machine Learning Models on Mobile Devices for Unhealthy Packaged Food Detection and Classification
Semantic Scholar · Computer Science · 2021
Abstract
We live in a world where most foods and beverages are unhealthy due to their high content of sugars, sodium, fat, among others [1]. Although many of these foods, especially packaged foods (snacks) for children have nutritional information, this is not very clear, and its interpretation is not easy for a normal person. For this reason, HealthCAM is developed. HealthCAM is a mobile application that uses augmented reality and machine learning techniques to detect the type of snack and indicate to the user through a visual warning on the phone's camera in real time the degree of sugar, sodium and fat that the snack has.