Smart Bin: A Waste Classification System for Eco- Friendly Urban Environments

This article introduces an innovative smart bin system designed for efficient waste classification, utilizing the ESP32-CAM module for image capture and OpenCV for object detection. By conducting real-time analysis of captured images, the system accurately identifies and categorizes various types of waste in both indoor and outdoor environments. Through seamless integration of ESP32-CAM’s image acquisition and OpenCV’s reliable detection algorithms, the system further enhances waste management precision by transmitting detected object data to Zoho Creator via API for real-time analytics. With the capability to detect six major types of waste - paper, plastic, glass, metal, food and e-waste this comprehensive approach not only drives advancements in smart city initiatives but also promotes sustainable practices, contributing to the creation of smarter and more eco-friendly urban environments. Additionally, this article highlights the system’s potential to streamline human tasks, providing users with enhanced awareness of specific waste types deposited in the bin. By improving waste collection effectiveness, reducing congregation around waste stations and enabling touch-free waste disposal, this innovative waste classification system effectively mitigates the risk of cross-contamination associated with physical contact.