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Febriyanti Ludja

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Open access Oct 2026

A Deep Learning Approach To Human Fall Detection With YOLOv12 Versi Nano

The original YOLOv12-nano model, known for its lightweight architecture, low latency, and efficiency on edge devices, was implemented on the Le2i dataset and achieved an mAP50 of 0.866 and an mAP50-95 of 0.555, providing a strong foundation for further improvement in elderly fall detection systems.

Florensce Sumarauw, Febriyanti Ludja, Robby Moody Lintong · 0 citations

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