Smart Bin Based Waste Management System Using AI and IOT

Abstract

In the era where cities are expanding faster than ever, waste is no longer just a by-product of urban life - it is a critical challenge demanding intelligent solutions. Like a smart city’s silent guardian, this research introduces an AI- and IoT-driven Smart Bin Waste Management System designed to transform how waste is monitored, identified, and collected. The system uses an ultrasonic sensor mounted inside the bin to measure the real-time fill level of waste. An ESP32-CAM module captures images of the waste inside the bin for classification purposes. An ESP32 microcontroller processes the sensor data and controls system operations. For communication, GSM/GPRS modules transmit bin status and alerts to a cloud server through the Internet. When the waste level reaches a predefined threshold, automatic notifications are sent to municipal authorities. On the AI side, a VGG-19 deep learning model is employed to identify the type of garbage (e.g., wet, dry, plastic, or metal). The identified data supports intelligent segregation and recycling decisions. At the same time, a GPS module attached to each bin continuously determines its geographic location (latitude and longitude). This location data is transmitted to the cloud along with the bin status, allowing the system to know exactly where each bin is placed in the city. Using both the bin fill levels and GPS coordinates, A route optimization (Particle swarm optimization) algorithm processes bin status and location data to generate efficient collection paths for garbage vehicles. The optimized routes help reduce travel distance, fuel usage, and collection time. Overall, the proposed system improves cleanliness, enhances collection efficiency, and supports sustainable waste management in smart cities.