AI is Watching Me on CCTV! But I Guess I'm Safer...
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This research paper presents the development and evaluation of an AI-driven Smart Video Solution (SVS) designed to enhance community safety. The SVS utilizes existing CCTV infrastructure and leverages recent advancements in AI for anomaly detection, leveraging pose-based data to ensure privacy. The system provides real-time alerts to stakeholders through a cloud-based infrastructure and mobile app, utilizing various data visualization techniques such as occupancy indicators, statistical anomaly detection, bird's eye view, and heatmaps. The paper includes a comprehensive real-world evaluation of the SVS, implemented in a community college setting, demonstrating its effectiveness, scalability, and privacy-preserving capabilities. The evaluation also examines the system's performance under increasing workloads and crowd densities, highlighting the impact of these factors on latency and throughput.
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