IoT Enabled Biomedical Smart Waste Bin Monitoring System using YOLO Algorithm
G Ashwini, K Sahana, T R Bhoomika, Saswati Behera, Tanguturu Thulasi, Usha Desai · 2024
This research presents an innovative approach to biomedical waste management through the integration of Internet of Things (IoT) technology, computer vision using the YOLO (You Only Look Once) algorithm, and the Raspberry Pi platform. The proposed system aims to enhance the efficiency of waste segregation in biomedical facilities by implementing a smart waste bin equipped with sensors and a camera. The YOLO algorithm is employed for real-time object detection, enabling the system to accurately identify and classify biomedical waste items as they are discarded into the smart waste bin. The Raspberry Pi serves as the central processing unit, orchestrating data collection, analysis, and communication functionalities. The Global Positioning System (GPS) communication is used for sharing the status of the bins using Short Message Service (SMS). Proposed system is a low cost and robust, supports in sustainable environment managing.