Edge-based security uses AI-driven computer vision to shift surveillance from passive recording to real-time situational awareness. By processing video locally, systems detect anomalies, recognize objects, and trigger actions without cloud latency. Use cases include vehicle ID, theft detection, cyber-physical incident monitoring, and marketing analytics. A hybrid edge-cloud model optimizes cost, bandwidth, and compliance, storing only relevant events. Western Digital’s demo pairs YOLO V3 object detection with FPGA ML acceleration, SSD, and HDD for fast, scalable analysis, sending flagged data to the cloud for deeper review.

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