An Intelligent CCTV based Surveillance System for Realtime crimes or life threat detection

It’s the time when people are more concerned about their safety than ever before. For this reason, sophisticated surveillance systems that can quickly identify any threats and take action to prevent it is essential to save life and property. An intelligent closed-circuit television (CCTV) surveillance system driven by the You Only Look Once (YOLO) object detection model is a robust approach to put the surveillance system to a new dimension. The proposed system is intended for monitoring real-time CCTV footage which generally focusing on identifying any weapons-carrying persons—a vital sign of possible threat and take appropriate action against it. By utilizing the effectiveness and precision of the YOLO model, the system quickly recognizes and detect these people as they enter the CCTV-covered region. Once detected, the system initiates a multi-tiered response mechanism that can involve loud alerts system, emergency police calls, targeted authority phone call and notifications, depending on the perceived level of threat for immediate action. The system is not limited to weapon detection only it is also capable of detecting fires or suspicious activity and triggering the response system to take action. This surveillance system adaptability guarantees monitoring and timely action in emergency situations, strengthening overall security protocols. With the help of this intelligent CCTV surveillance system public safety should be improved by avoiding possible threats, speeding up reaction and response times, and enabling prevent injuries and property from any incoming danger.

Authors

Publication Details

Published
2025-02-13
DOI
https://doi.org/10.1109/ecce64574.2025.11013224
Citations
1
Primary Topic
Internet of Things and Social Network Interactions
Type
article
Field-Weighted Citation Impact
1.49
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article

An Intelligent CCTV based Surveillance System for Realtime crimes or life threat detection

Sujit Roy, Mohammad Yusuf Hasan, Muhammad Naeem, Ongsaiu Marma
1 citations
Internet of Things and Social Network Interactions
1.49
article

An Intelligent CCTV based Surveillance System for Realtime crimes or life threat detection

Sujit Roy, Mohammad Yusuf Hasan, Muhammad Naeem, Ongsaiu Marma
article en
1 citations

Abstract

It’s the time when people are more concerned about their safety than ever before. For this reason, sophisticated surveillance systems that can quickly identify any threats and take action to prevent it is essential to save life and property. An intelligent closed-circuit television (CCTV) surveillance system driven by the You Only Look Once (YOLO) object detection model is a robust approach to put the surveillance system to a new dimension. The proposed system is intended for monitoring real-time CCTV footage which generally focusing on identifying any weapons-carrying persons—a vital sign of possible threat and take appropriate action against it. By utilizing the effectiveness and precision of the YOLO model, the system quickly recognizes and detect these people as they enter the CCTV-covered region. Once detected, the system initiates a multi-tiered response mechanism that can involve loud alerts system, emergency police calls, targeted authority phone call and notifications, depending on the perceived level of threat for immediate action. The system is not limited to weapon detection only it is also capable of detecting fires or suspicious activity and triggering the response system to take action. This surveillance system adaptability guarantees monitoring and timely action in emergency situations, strengthening overall security protocols. With the help of this intelligent CCTV surveillance system public safety should be improved by avoiding possible threats, speeding up reaction and response times, and enabling prevent injuries and property from any incoming danger.

Peace, Justice and strong institutions
Openalex Percentile: Top 17%
Internet of Things and Social Network Interactions
1.49
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