Authors:
Seba Maity,Tania Chakraborty,Ratnesh Pandey,Hritam Sarkar,DOI NO:
https://doi.org/10.26782/jmcms.2023.08.00003Keywords:
Waste management automated system,YOLO algorithm,Computer vision,Image processing, keras,Tensorflow,Dataset,Arduino UNO,Servo motor,Abstract
Our paper presents the design and implementation of an automated waste management system that utilizes the You Only Look Once (YOLO) algorithm and computer vision techniques for efficient waste sorting. The escalating global concern regarding waste management necessitates the development of automated systems to address the challenges associated with waste sorting. By leveraging YOLO's object detection capabilities and the power of computer vision, our system accurately identifies and classifies various types of waste in real time. The YOLO algorithm's efficiency and speed enable the swift processing of waste items, facilitating efficient sorting into predefined placements. This automated system not only improves accuracy but also reduces health risks for workers and minimizes environmental harm. Complemented by public awareness campaigns promoting proper waste separation and recycling practices, our research contributes to advancing waste management technologies and fostering sustainable practices for a healthier environment.Refference:
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