An innovative food waste management with enabled IoT and AI technique

Food scarcity has become an international topic, and the wastage of food has a global impact on ethical and environmental costs. The bulk of the food is usually wasted in restaurants, hospitals, hostel mess, etc., where a massive amount of food is prepared. Such things are happening due to improper management. This paper proposes implementing an innovative food management system in the hostel mess to resolve food wastage. The proposed method works based on image processing, AI techniques with imposed IoT concepts. The work aims to minimise food wastage by monitoring the quantity of food dumped into the bin. Furthermore, based on food wastage, penalties apply to a particular identified individual. In addition, the proposed system assesses the quality and quantity of food based on wastage on a daily/weekly basis and is notified to the concerned authority. Moreover, it helps in monitoring the individual's attendance effectively. Hence, this method will eventually reduce the food waste that is dumped into the dustbin. Finally, to test the feasibility of the proposed idea, the experimental setup was developed, and measured results were observed and verified under various case studies.