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Development of a Mathematical Model for Crime Detection based on YOLO Network Architecture

by Oghenevovwero Zion Apene, Nachamada Vachaku Blamah, Gilbert Imuetinyan Osaze Aimufua, Morufu Olalere
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 20
Year of Publication: 2024
Authors: Oghenevovwero Zion Apene, Nachamada Vachaku Blamah, Gilbert Imuetinyan Osaze Aimufua, Morufu Olalere
10.5120/ijca2024923621

Oghenevovwero Zion Apene, Nachamada Vachaku Blamah, Gilbert Imuetinyan Osaze Aimufua, Morufu Olalere . Development of a Mathematical Model for Crime Detection based on YOLO Network Architecture. International Journal of Computer Applications. 186, 20 ( May 2024), 17-24. DOI=10.5120/ijca2024923621

@article{ 10.5120/ijca2024923621,
author = { Oghenevovwero Zion Apene, Nachamada Vachaku Blamah, Gilbert Imuetinyan Osaze Aimufua, Morufu Olalere },
title = { Development of a Mathematical Model for Crime Detection based on YOLO Network Architecture },
journal = { International Journal of Computer Applications },
issue_date = { May 2024 },
volume = { 186 },
number = { 20 },
month = { May },
year = { 2024 },
issn = { 0975-8887 },
pages = { 17-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number20/development-of-a-mathematical-model-for-crime-detection-based-on-yolo-network-architecture/ },
doi = { 10.5120/ijca2024923621 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-05-24T23:33:16+05:30
%A Oghenevovwero Zion Apene
%A Nachamada Vachaku Blamah
%A Gilbert Imuetinyan Osaze Aimufua
%A Morufu Olalere
%T Development of a Mathematical Model for Crime Detection based on YOLO Network Architecture
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 20
%P 17-24
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Advancements in computer vision and deep learning have led to significant progress in automated crime detection systems. This study focuses on the development of a novel mathematical model for crime detection based on the You Only Look Once (YOLOv5) network architecture. The proposed model utilizes state-of-the-art object detection techniques to identify, classify, and detect criminal activities in surveillance footage, including images and videos, focusing on critical crime categories such as weapons and violent behaviour. The model's performance is evaluated on seven classes of weapon objects and violent scenes, achieving a precision (P) of 0.842, recall (R) of 0.77, and mAP of 0.811. These results demonstrate the model's efficiency in accurately identifying and categorizing criminal activities, thereby contributing to enhancing public safety and security through the utilization of cutting-edge deep learning technologies in crime prevention and detection.

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Index Terms

Computer Science
Information Sciences
Crime Detection Model

Keywords

Crime detection Public Safety Computer Vision Deep Learning YOLO model

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