Violence Detection Using IOT and AI

Authors: Ansari Adnan Mohammad, Ansari Afifa Abeer Mohammed Ayyub, Jadhav Sakshi Dadaji, Kamodkar Sakshi Kiran, Madhikar Shraddha Rajendra

Country: India

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Abstract: This project focuses on building a Violence Detection System using machine learning (ML) to enhance safety and security in various settings. The system can identify dangerous situations like weapon detection, fights in videos, and robberies caught on camera in real-time. For weapon detection, live camera feeds are monitored to spot items like guns, knives, or other potentially harmful objects instantly. The system employs advanced computer vision algorithms and deep learning models to send immediate alerts to authorities, ensuring rapid response to threats. Additionally, the system can analyse uploaded videos to detect fighting incidents or robberies. It is trained to recognize suspicious behaviour patterns, such as physical confrontations, aggressive movements, or masked individuals, indicative of potential violence. Designed for environments such as schools, shopping malls, and corporate offices, this system leverages real-time detection and video analysis to enhance public and private safety. By providing an extra layer of proactive security, it significantly reduces response times and ensures a safer environment for all

Keywords: Violence Detection System, machine learning, safety, security, weapon detection, fight detection, robbery detection, real-time monitoring, computer vision, deep learning, suspicious behaviour, rapid alerts, video analysis, public safety.

Paper Id: 232047

Published On: 2025-01-18

Published In: Volume 13, Issue 1, January-February 2025

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