Littering Management Using AI

Littering is one of the major environmental challenges faced by modern societies. It leads to land, water, and air pollution and affects both human health and wildlife. Traditional waste monitoring systems rely heavily on manual inspection which is time-consuming, costly, and inefficient. With the rapid development of Artificial Intelligence (AI), automated litter detection and waste management systems have become possible. This paper presents a comprehensive study on AI-based littering management systems using deep learning and computer vision techniques. The proposed system uses surveillance cameras, image processing, and deep neural networks to detect, classify, and track litter in real time. The system also generates automated alerts for timely waste collection, thereby improving cleanliness and supporting smart city initiatives.