Detection of Crime Activities Using Machine Learning

Sukrutha B; Nisarga T N; Vaishnavi S V

Detection of Crime Activities Using Machine Learning

Authors: Sukrutha B, Nisarga T N, Vaishnavi S V

Unique Paper ID: 164585
Volume: 10
Issue: 12
PageNo: 2925-2932

Keywords: object detection motion tracking and activity recognition

Abstract:
This research paper proposes a novel approach leveraging machine learning techniques for the automated detection of crime activities through surveillance camera feeds, coupled with the generation of real-time alert messages for security systems. The proposed system utilizes advanced computer vision algorithms to analyze live video streams from surveillance cameras, detecting anomalous behaviors and potential criminal activities. These algorithms are trained on large datasets of labeled video footage, enabling the model to learn and recognize patterns indicative of suspicious behavior such as trespassing, vandalism, theft, or violence. Upon detecting crime activity the system triggers alert message and sends alert message to security personal or law enforcement agencies.

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Cite This Article

ISSN: 2349-6002
Volume: 10
Issue: 12
PageNo: 2925-2932

Detection of Crime Activities Using Machine Learning

Available:https://ijirt.org/Article?manuscript=164585

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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