Armed Surveillance:Cutting Edge AI CCTV and Aerial Surveillance with Integrated Security Framework

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Prathmesh D Galhe
Pranali K Bhor
Pallavi B Gholap
Shubhangi K. Said

Abstract

This paper presents a novel system for enhancing security through the integration of autonomous micro-drones with existing advanced CCTV systems. The proposed system enables real-time weapon detection and unauthorized person identification, addressing the increasing demand for efficient surveillance solutions in public spaces, schools, and high-security events. By leveraging artificial intelligence and advanced computer vision algorithms, the integrated system can autonomously detect threats and monitor crowded environments, ensuring rapid response to potential incidents. The drones are designed to automatically deploy upon detection of suspicious activity, providing real-time tracking and live video feeds to security personnel. Additionally, the system allows for seamless communication between drones and CCTV cameras, enabling continuous surveillance and data sharing. This research explores the architecture of the integrated system, outlines its operational capabilities, and discusses its implications for future security applications. The findings demonstrate that the combination of micro-drones and advanced CCTV technology significantly enhances situational awareness and response times, paving the way for a more secure and proactive approach to modern surveillance.

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How to Cite
Galhe , P. D., Bhor , P. K., Gholap , P. B., & Said , S. K. (2025). Armed Surveillance:Cutting Edge AI CCTV and Aerial Surveillance with Integrated Security Framework. International Journal of Recent Advances in Engineering and Technology, 14(1s), 176–181. Retrieved from https://journals.mriindia.com/index.php/ijraet/article/view/271
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