Abstract
Abstract: It is a frequent sight to see people throwing banana peels, tin cans, plastic covers and bottles. Many people while using roads spit there and throw wrappers and other wastes on the roadsides. It is disappointing to see the laziness and indifference of people ruining our environment. Birds and Animals consume these waste products, confusing them for food. They don't survive. Our system uses the wonders of modern computer vision technology to detect cases of littering from camera video streams. Litter objects in low altitude imagery collected by an unmanned aerial vehicle (UAV) during an autonomous patrol mission. We use the OpenCV library for object detection. Python is used for the core of the project. We have a database of images of items that are likely to be litter. Tin cans, plastic bottles, plastic bags, etc. More objects can be added as the system gains adoption
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