Abstract
Abstract: Littering of waste causes a lot of negative impact on the environment as well as it affects the economy of the nation. Because of unavailability of a proper waste tracking and detection system, littered waste remains uncleaned. The traditional way of waste management includes regular waste collected by the groups assigned such as municipal corporation trucks. To overcome this problem, we develop a system where the admin can capture images using a mobile camera and using artificial intelligence, it processes those images and identifies the type of waste present in the image. It also maps the waste locations along with its images on a map. At the end, the admin notifies the nearest garbage collector to clean the waste. The system uses the concepts of image processing, deep learning and object detection. Keywords: Object Detection, Image Processing, Coordinates, Deep Learning, Mapping
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