A Smart Monitoring System on Refrigeration with Neural Network Models

This project utilizes technology to combat food waste and safety issues. We developed a smart monitoring system on the refrigerator that reminds users to consume the food before it expires, reducing household food waste. We trained a Faster RCNN model to identify food and developed a front-end page for user interaction. Although this smart system on refrigerators may not significantly reduce food waste, it aims to increase public awareness and inspire individuals to act. Furthermore, this technology can be optimized and extended to various industries, such as social security and elderly services, to enhance life quality and decrease food waste, a prominent global development issue. The project aims to reduce food waste and improve food safety through technology, promoting a more sustainable future.