Sentinel AI: AI-Powered Real-Time Surveillance for Intelligent Threat Detection

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Siddhesh Ashok Rokade
Shweta Ambadas Jadhav 
Vaishnavi Umesh Hinge 
Pallavi Bhagwan Gholap

Abstract

Efficient the rapid advancements in artificial intelligence, surveillance systems are evolving to offer unparalleled capabilities in real-time security monitoring. This paper introduces Sentinel AI, an AI-enhanced surveillance system designed to detect threats such as unauthorized access and weapons with high accuracy. Utilizing state- of-the-art deep learning models and computer vision techniques, Sentinel AI autonomously analyzes video feeds minimizing false alarms through context-aware threat prioritization. Unlike conventional CCTV systems, this approach integrates behavioral analysis, multimodal data fusion, and edge computing to enhance responsiveness This study details the system’s architecture, implementation strategies, and its impact on modern security infrastructure, highlighting its role in redefining proactive threat management.

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How to Cite
Rokade , S. A., Jadhav ,S.A., Hinge ,V.U., & Gholap, P. B. (2025). Sentinel AI: AI-Powered Real-Time Surveillance for Intelligent Threat Detection. International Journal of Recent Advances in Engineering and Technology, 14(1s), 129–134. Retrieved from https://journals.mriindia.com/index.php/ijraet/article/view/260
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