Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{182727,
        author = {Mohammed Tajuddin Azam and Sridhar Gummalla and Shaikh Shakeer Basha},
        title = {Weapon detection and crowd management using existing CCTV, AI and ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {2935-2939},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182727},
        abstract = {In the world with the population the increase in crime rate has been evolved as well. To prevent crimes and for our safety it is important to have a device which help in recognizing the criminals. As urban security is constantly evolving the machine learning (ML) can be a game changing solution. Motivated by real-world challenges where conventional surveillance methods often fall short, our project aims to transform urban safety through innovative technological solutions. Our approach harness the potential of ML, involve YOLO which stands for “YOU ONLY LOOK ONCE” algorithm. With risks everywhere security is always an important aspect and due to rise in crime rate in a crowded events or suspicious area with less activity. With the growing demand for the protection of safety, security and personal property deploying video surveillance systems capable of recognizing and interpreting scenes and anomalous events plays a vital role in intelligent monitoring. This paper implement automatic gun or weapon detection using a faster region based convolution neural network algorithms. This paper works when in a crowd there are any weapon detected it can manage the crowd and locate any weapon if detected.},
        keywords = {CCTV, AI, ML, Weapon detection, crowd management},
        month = {July},
        }