Using Transfer Learning and Pattern Recognition to Implement a Smart Waste Management System

Abstract

Smart cities are nowadays a very growing industry and a way of life that people want to experience. The technology that is used in the smart cities very well provide better living standards for the people. Smart city is most commonly utilised the benefits of information and communication technology. Internet of Things has opened a very vast space and has brought in many opportunities for all kind of research and development to integrate technology into people's life and hence make smart city is possible. this is a very vast topic to discuss as it has many different applications like water leak detection, gas leak detection, street lights that are smart and a very well designed traffic management system. also making use of this technology a very efficient way to collect waste can also be designed to maintain a very healthy lifestyle for the people and also minimizing the operation cost. This research paper presents a very well designed and completely new architecture In order to implement a smart waste management system which at its core implements artificial intelligence technique and machine learning with a combined focus on Internet of Things. By combining this approach with deep learning a system can be made which has a very minimal operation cost while not compromising on performance.