A Review of Visible and Concealed Weapon Detection Techniques Using Machine Learning and Deep Learning

The Gun violence facing the international society is an epidemic to which the world experts have been striving to find a solution to, since a long time. Gun violence endangers the fundamental human right to live. It affects all aspects of modern society. The availability and easy access to the weapo...

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Veröffentlicht in:	SN computer science Jg. 6; H. 6; S. 611
Hauptverfasser:	Sandhu, Simratjit kaur, Bhatia, Rekha
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.08.2025 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Anomalies Artificial neural networks Automation Cameras Closed circuit television Computer Imaging Computer Science Computer Systems Organization and Communication Networks Computer vision Concealed weapons detection Crime Data Structures and Information Theory Datasets Deep learning Eigenvalues Gun violence Guns Information Systems and Communication Service Machine learning Mass murders Pattern Recognition and Graphics Public safety Review Article Sensors Software Engineering/Programming and Operating Systems Surveillance Synthetic data Violence Vision Weapons United States > US Optimized weapon detection Concealed weapon detection Visible weapon detection Faster R-CNN detection Weapon detection challenges Gun detection Weapon detection review YOLO detection Edge device detection Pistol detection CCTV surveillance SSD weapon detection Object detection Weapon datasets
ISSN:	2661-8907, 2662-995X, 2661-8907
Online-Zugang:	Volltext
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