Open Access
ARTICLE
Automatic Detection of Weapons in Surveillance Cameras Using Efficient-Net
1 Department of Computer Science, Superior University, Lahore, 54000, Pakistan
2 Department of Informatics & Systems, University of Management & Technology, Lahore, 54000, Pakistan
3 Department of Software Engineering, Superior University, Lahore, 54000, Pakistan
4 Faculty of Computer Science & Information Technology, Superior University, Lahore, 54000, Pakistan
5 Department of Computer Science & Artificial Intelligence, College of Computer Science & Engineering, University of Jeddah, Jeddah, 21493, Saudi Arabia
6 Department of Software Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah, 21493, Saudi Arabia
* Corresponding Author: Erssa Arif. Email: