Automatic Waste Segregation in Trash Bin using IoT and Machine Learning

Abstract: The conventional waste management system has proven to be inefficient and costly, relying on a daily schedule. Similarly, the current recycling bin is ineffective because the public fails to segregate waste properly. However, with the advancement of Internet of Things (IoT) and Artificial Intelligence (AI) technologies, there is a potential to replace the conventional waste management system with smart sensors that can automate waste segregation and enhance the waste management process. The primary objective of this research is to develop a smart waste management system that incorporates IoT and machine learning models. The system features several compartments, which are controlled by servo motors, facilitating segregation of waste into categories such as metal, plastic, paper, wet waste, and general waste. Each compartment contains an ultrasonic sensor that monitors the waste filling level in real-time.

Keywords: waste classification, IoT, smart waste management.