Abstract

In today's tech-driven world, security concerns in public spaces are escalating. Closed-Circuit Television (CCTV) systems are common but managing their data overload is tough. Enter the "Automated Threat Recognition System," powered by deep learning, particularly YOLOv5. With real-time threat detection, it autonomously identifies aggression and violence swiftly, optimizing security monitoring and saving time and resources. This system is crucial for effectively tackling modern security challenges. Index Terms- Colab, Kaggle, Makesense.AI, Yolov5, OpenCv, numpy

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