Abstract: In this work, we present an embedded AI model for real-time concrete crack detection, considering the trade-offs between model complexity and accuracy. For this purpose, we implemented ...
Abstract: Inefficiencies, cumbersome processes, and a significant risk of errors, delays, and misuse often plague conventional methods for tracking student attendance. To address these challenges, ...
A real-time fall detection system using computer vision with YOLOv12 for person detection and MediaPipe for pose estimation. The system features an intuitive dashboard for monitoring and analyzing ...
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