GEO TRACKING OF WASTE, TRIGGERING ALERTS AND MAPPING AREAS WITH HIGH WASTE INDEX

Abstract

Littering has a severe damaging effect on the ecology and the economy of the country. Because there is no reliable system for monitoring and identifying waste, littered trash is not retrieved. The traditional approach to waste management is on the appointed parties, such municipal corporation trucks, to regularly collect trash. The project's objectives are to provide a comprehensive waste management solution and aid in the development of a more sustainable and clean environment. The user of the recommended system may submit a video of garbage together with geographic data that was captured using a mobile camera. A deep learning system may be used to detect Yolo waste in videos if it is present. This method may also provide an audible alarm. Making use of the data Based on the user's feedback, the administrator gets in touch with the nearest garbage collector to pick up the trash. The program aims to provide a comprehensive waste management solution and support the development of a more sustainable and clean environment. The recommended system is compact, affordable, easy to operate, and needs minimal human contact.