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Weapons Detection for Security and Video Surveillance Using CNN and YOLO-V5s

Abdul Hanan Ashraf1, Muhammad Imran1, Abdulrahman M. Qahtani2,*, Abdulmajeed Alsufyani2, Omar Almutiry3, Awais Mahmood3, Muhammad Attique4, Mohamed Habib5,6

1 Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, 44000, Pakistan
2 Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, 21944, Saudi Arabia
3 College of Applied Computer Science, King Saud University (Almuzahmiyah Campus), Riyadh, 11543, Saudi Arabia
4 Department of Computer Science, HITEC University, Taxila, 47080, Pakistan
5 College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia
6 Faculty of Engineering, Port Said University, Port Fuad City, Egypt

* Corresponding Author: Abdulrahman M. Qahtani. Email: email

TSP_CMC_18785.pdf

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