Publication

Abstract : India grows food in surplus quantity and also wastes tons of food by storing it in cold storage that goes unmonitored along with inefficient temperature controls. A lot of raw materials get rotten while transported from one cold storage to the food industry or directly to the consumer side be it the restaurants or the vegetable and fruit markets. Spoilt food when consumed by animals causes death and diseases. Even in restaurants, already preserved food is again stored in refrigerators for weeks. Today in the era of smart refrigerators, keeping a track of items inside became easier due to various alerting systems. As food spoilage is also a concern refrigerator should be able to detect the spoilage of food that is stored in it and should be able to alert the user. Often, the spoilage is known only when the food is smelt or tasted. In this paper, an FPGA-based food spoilage detection system is designed that detects early spoilage of food in storage systems through methane gas and moisture detection in foods as well as mold on bread surfaces. The system alerts the user through a buzzer and the inbuilt display of the storage at early spoilage itself so that the user discards the food even before it is completely rotten preventing other food from getting affected as well as saving the lives of animals who die from food poisoning. The YoloV5 machine learning model is retrained to detect the early formation of mold on food surfaces and discard the food items immediately.