International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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E-Waste Identification and Management Using IoT And Deep Learning

Prof. Prashant Govardhan, Richal Meshram, Prathmesh Birelly, Yash Ramteke

Abstract :

E-waste is a rapidly growing global concern due to its hazardous components and environmental impact. Recognizing the gravity of this issue, a groundbreaking solution has been devised in the form of a smart e-waste management system that leverages the power of IoT and Deep Learning object detection. The primary objective of this smart e-waste management system is to address the burgeoning e-waste crisis efficiently. By employing advanced algorithms, the system can accurately identify and categorize different types of electronic waste. The implementation of DL ensures precision and reliability in classifying e-waste items, mitigating the risks associated with manual sorting and disposal. By adopting this smart e-waste management system, it can actively contribute to green initiatives and promote sustainability. The real-time monitoring and efficient sorting of e-waste not only reduce health and environmental risks but also pave the way for the recovery of valuable materials, fostering a circular economy.

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