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International Journal of Advanced Engineering Application

ISSN: 3048-6807

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Suspicious activity detection for prevention of violence using YOLO and CNN algorithms

Author(s):Atharva Pathak�, Shreyas Patil�,Arnav Sinha �, Parag Pandharpote? , Lata Sankpal5

Affiliation: 1,2,3,4,5Dept of Computer Engineering PVG�s COET and GKPWIOM, Pune. India.

Page No: 7-13

Volume issue & Publishing Year: Volume 1 Issue 1, May-2024

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI:

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Abstract:
In response to the surge in violent incidents, this paper introduces an advanced surveillance system addressing the need for proactive threat detection. Leveraging You Only Look Once (YOLO) and Convolutional Neural Network (CNN) algorithms, our system achieves real-time identification of weapons, recognizes riots, detects suspicious bags, identifies their owners, and uncovers camera tampering. The outcome of this research contributes to the development of an intelligent surveillance framework that not only detects potential threats but also generates prompt alert notifications, enabling swift response measures to prevent or mitigate violent situations.

Keywords: Object detection, knife/gun detection, suspicious luggage detection and its owner identification, riots detection, camera tampering detection, alert, email notification, Yolo object detection, Convolutional Neural Network.

Reference:

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