MRI
MRI India Journals Vol. 14 No. 1s (2025): Special Issue: NCETES Conference 2025

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

Authors

  • Siddhesh Ashok Rokade Jai hind College of Engineering, Kuran Pune, India 
  • Shweta Ambadas Jadhav  Jai hind College of Engineering, Kuran Pune, India 
  • Vaishnavi Umesh Hinge  Jai hind College of Engineering, Kuran Pune, India 
  • Pallavi Bhagwan Gholap Jai hind College of Engineering, Kuran Pune, India 

DOI:

https://doi.org/10.65521/intjournalrecadvengtech.v14i1s.260

Keywords:

AI Surveillance Real-Time Threat Detection YOLO Object Detection Smart Security

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.

Downloads

Download data is not yet available.

Downloads

Published

2025-05-02

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. https://doi.org/10.65521/intjournalrecadvengtech.v14i1s.260

Similar Articles

<< < 4 5 6 7 8 9 10 11 12 13 > >> 

You may also start an advanced similarity search for this article.