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arXiv · 2506.16647

Leveraging CNN and IoT for Effective E-Waste Management

Ajesh Thangaraj Nadar·Gabriel Nixon Raj·Soham Chandane·Sushant Bhat
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Abstract

The increasing proliferation of electronic devices in the modern era has led to a significant surge in electronic waste (e-waste). Improper disposal and insufficient recycling of e-waste pose serious environmental and health risks. This paper proposes an IoT-enabled system combined with a lightweight CNN-based classification pipeline to enhance the identification, categorization, and routing of e-waste materials. By integrating a camera system and a digital weighing scale, the framework automates the classification of electronic items based on visual and weight-based attributes. The system demonstrates how real-time detection of e-waste components such as circuit boards, sensors, and wires can facilitate smart recycling workflows and improve overall waste processing efficiency.

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Ajesh Thangaraj Nadar, Gabriel Nixon Raj, Soham Chandane, Sushant Bhat. 2025-06-19. Leveraging CNN and IoT for Effective E-Waste Management. https://doi.org/10.1109/i-smac58438.2023.10290543

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