Published Paper Details:

This project presents the design and implementation of an IoT-enabled Smart Bin Network to address the challenges of inefficient urban waste collection and overflowing public garbage bins. The system uses ultrasonic sensors connected to ESP8266 NodeMCU microcontrollers to continuously measure the fill levels of waste bins. These measurements are sent in real time over Wi-Fi to a Firebase Realtime Database, where they are stored and updated dynamically. A web-based dashboard retrieves this data and displays the locations and statuses of all monitored bins on a Google Maps interface, using color-coded markers to indicate fill levels and alert authorities to bins that need urgent collection. By providing real-time visibility into waste levels across the city, this system enables municipal waste management teams to plan optimized collection routes, reduce unnecessary trips, save fuel costs, and prevent unsanitary overflowing bins. The project emphasizes a low-cost, scalable design using easily available hardware and free-tier cloud services, making it accessible for deployment even in smaller towns and cities. Future extensions could include GSM/LoRa connectivity for remote areas, predictive analytics to forecast fill levels, automated route optimization for collection trucks, and integration with citizen mobile apps to support smarter, cleaner, and more sustainable urban living.