Smart-log: An automated, predictive nutrition monitoring system for infants through the IoT

Malnutrition is a condition where the body is deprived of important nutrients required to maintain healthy tissues and organ function. Maintaining the right balance in food intake is very important, especially in infants where tremendous growth occurs. Unlike adults, infants require someone's assistance in their food intake. In the modern world, where most of the infants are being sent to daycare, an automated food monitoring system helps in keeping track of their food intake. In this paper an automated food monitoring system with predictions to help a balanced meal is proposed. This sensor system consists of a piezo-based sensor board which can help in analyzing the weight of each meal and a smart phone camera to obtain nutrition facts of the ingredients.