Real-Time Garbage, Potholes and Manholes Monitoring System using Deep Learning Techniques

Abstract

A major challenge in urban cities is waste management, as the pace of urbanization is growing rapidly sustainable urban development strategies are therefore required. One of the main concerns with our environment has been improper garbage containment, unrepaired potholes, open manholes, and stagnant water which are harmful to the well-being of the residents. Since the idea of smart cities is very trendy these days and without a smart waste management system, smart cities can't be complete. Traditional manual monitoring is a cumbersome process and utilizes more effort, time, and cost which can easily be assisted with present technologies. Monitoring such tasks using IoT is one such solution, but incorporating IoT deals with the use of sensitive electronic devices which are difficult to maintain and hence add on some additional costs. Hence this paper describes the development of a system using deep learning techniques which can cut down huge costs in effectively monitoring the surroundings and lend a helping hand for a better, safer present and future.