Abstract

Abstract: In the recent years, one of the underlying effects of a growing population is environmental hazard. Of these problems, the increasing amount of trash is the most critical. As the world's population continues to rise at an unprecedented rate, waste management is seen as an effective solution to mitigate the issue. Segregation of wastes at junk yards is a tedious and time consuming process hence recycling of wastes is not effectual. These drawbacks can be overcome by proper waste management at domestic level. The main objective of this project is effective and efficient methods of waste collection and segregation at domestic level Specifically, we developed a trash bin equipped with sensors, which can intelligently segregate waste system thatprovides monitoring report of waste collection. Image recognition was used to process automatic classification of trash using machine learning technique. Upon training more than 2000 samples for biodegradable and non- biodegradable waste, thedeveloped prototyped were able to classify trash efficientlyKeywords: Rapid industrialization, Ultrasonic Sensors, Unhealthy atmosphere, Improper waste management, Biodegradable andNon-Biodegrable waste, waste separation system, Raspberrypi3, Pi camera, Servomotor.