A multi-layer airport security framework using YOLO-based X-ray detection, video anomaly analysis, IoT sensor monitoring and blockchain logging

Abstract Security screening systems require reliable and real-time detection of threats in complex X-ray imagery and surrounding environments. Manual inspection of baggage images is often a overhead due to operator fatigue, cluttered objects and overlapping items. Recent advances in deep learning an...

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Principais autores:	T. Shobha, R. Rashmi, L. R. Chaitanya, C. V. Medhini, R. J. Chandana, Sumukh P. Gowda
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-06-01
Colecção:	Scientific Reports
Assuntos:	YOLO CLCXray X-ray prohibited item detection IoT Video anomaly detection Blockchain logging
Acesso em linha:	https://doi.org/10.1038/s41598-026-52894-w
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