Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Volume 6 Issue 6
November-December 2025

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Privacy-Centric Smart Video Surveillance Framework for Real-Time Safety Monitoring

Author(s) Mr. Bibhudatta Behera, Ms. Keerthana C, Ms. Samitha Halli, Mr. Chinthan L, Dr. Mamatha M
Country India
Abstract The increasing integration of Smart Video Surveillance (SVS) into contemporary urban infrastructures presents a fundamental conflict between augmenting public security and preserving personal privacy. Legacy surveillance systems are often encumbered by notable latency, intensive computational overhead, and significant privacy vulnerabilities. This manuscript introduces a real-time, privacy-conscious SVS framework designed to surmount these obstacles through a computationally efficient, frame-centric analytical approach. Our system incorporates effective heuristic-driven algorithms, including pixel-based analysis for fire detection and a geometric pose-ratio method for identifying falls, which allows for deployment on standard consumer-grade hardware. A thorough evaluation demonstrates that our framework achieves a detection accuracy to 97.4%, a significant leap from the 73.72% accuracy of benchmark models. By leveraging edge computing, we also diminish end-to-end latency from 36 seconds to below two seconds. The framework is further secured with 128-bit end-to-end encryption and a selective data storage protocol that reduces the retention of sensitive data, thereby ensuring compliance with data protection regulations like General Data Protection Regulation and Health Insurance Portability and Accountability Act . The final result is a scalable, secure, and exceptionally efficient solution that establishes a new benchmark for next-generation intelligent surveillance technologies.
Keywords Smart video surveillance, pixel-based fire detection, pose-ratio fall detection, IoU-based collision detection, anomaly detection, real-time monitoring, privacy preservation.
Field Computer Applications
Published In Volume 6, Issue 6, November-December 2025
Published On 2025-12-13
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E-ISSN 3048-7641
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