InstaSecure:CCTV Anomaly Detection and Footage Summarization

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St. Francis Institute of Technology

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The need for more efficient and intelligent surveillance is met by developing an AI- powered platform that automates real-time video analysis. By employing YOLO algorithms, the system identifies anomalies, recognizes objects, monitors move- ments, and forecasts security incidents. This reduces reliance on manual moni- toring, improving response times and overall security. The project benefits public and private sectors seeking advanced, proactive surveillance solutions to enhance safety.

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InstaSecure:CCTV Anomaly Detection and Footage Summarization. BE Project Report, Department of Computer Engineering, St. Francis Institute of Technology, 2024-2025.

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