Abstract

Abstract: Since 2015, the YOLO (You Only Look Once) series has evolved to YOLO-v8, prioritizing real-time processing and high accuracy for security and surveillance applications. Architectural enhancements in each iteration, culminating in YOLOv9, cater to rapid detection, precision, and adaptability to resource-constrained edge devices. This study examines YOLO’s evolution, emphasizing its relevance to security and surveillance contexts. Notable improvements in architecture, coupled with practical deployments for defect detection, underscore YOLO’s alignment with stringent security and surveillance requirements.

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