Abstract:Electronic waste is currently recognized as the waste stream that is growing the fastest. Since electronic equipment contains hazardous materials, improper management could harm both human health and the environment. E-waste is a major global concern in modern society. Therefore, there is a greater need than ever for more inventive, secure, and environmentally friendly methods of handling e-waste. This paper introduces a smart waste management system based on deep learning (DL)-based object detection, and the … Show more
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