AI is Watching Me on CCTV! But I Guess I'm Safer...

OVERFIT: AI, Machine Learning, and Deep Learning Made Simple

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.

Read more:

• https://arxiv.org/pdf/2312.02078
• https://arxiv.org/pdf/2312.00173
• https://arxiv.org/pdf/2311.12621