Edge-AI Driven Automation for Scalable E-Waste Recycling

David T T Tran, Ernest E Y Chan, Kenneth Y T Lim

Published: 25 Mar 2026, Last Modified: 12 May 2026AI4X-AC 2026 PosterEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for both oral and poster presentation.
Keywords: electronic waste recycling, disassembly, computer vision, YOLOv11n, Raspberry Pi, CNC robotics, camera, homography mapping
TL;DR: A low-cost, computer-vision based robotic system that autonomously detects and removes screws from laptops to enable scalable, automated e-waste disassembly.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 25