Smart Dustbin and Intelligent Waste classification Using Deep Learning

Efficient waste management is a critical challenge in urban and community environments, requiring automated solutions to reduce manual labor and promote sustainability. This work introduces an integrated system combining Internet of Things (IoT) technology and Machine Learning (ML) for real-time waste detection, classification, and segregation. IoT-based sensors, such as ultrasonic modules, detect the presence of waste, while a USB camera captures images for classification. A Convolutional Neural Network (CNN) model, optimized with TensorFlow Lite, processes the images locally on an Arduino-based embedded system to classify waste as biodegradable or non-biodegradable. Actuation mechanisms, including servo motors and LED indicators, facilitate automatic sorting and provide user feedback. The system reduces manual intervention, promotes hygienic disposal, and demonstrates a cost-effective, scalable, and efficient solution for smart urban waste management.