PROTOTYPE OF A NUTRITIONAL CONTROL DEVICE BASED ON COMPUTER VISION IN THE CITY OF AREQUIPA

Reaño-Soto I.; Flores-Gutiérrez O.; Collado-Oporto C.; Retamozo-Güere V.; Villaverde-Yumbato N.; Lazo-Barreda D.; Villegas-Medina J. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2026) · DOI: 10.18687/laccei2026.1.1.2120

Resumen

The Pan American Health Organization reports that in Latin America, more than 28% of the population faces moderate or severe food insecurity, while nearly 58% of adults are overweight or obese. This research presents a proposal for a nutritional control prototype based on computer vision and embedded systems, implemented on a Raspberry Pi platform. The system integrates image capture, food classification algorithms, and weight sensors to estimate nutritional intake in a semi-automated manner, reducing dependence on manual recording of dietary information. The results of the cross-sectional study applied to young people between the ages of 12 and 24 in Arequipa show deficiencies in nutritional culture and food self-control practices, validating the relevance of the proposed device as a potential scalable engineering solution.

Instituciones: Universidad Católica de Santa María