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@article{163635,
        author = {Ayush Jamdade and Harshwardhan Patil and Vaibhav Nagare and Rohan Marale and Supriya Manwar},
        title = {ML Based Weapon Detection and Criminal Identification with Real Time Alerts},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {1919-1927},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163635},
        abstract = {We developed a machine learning-based system for weapon detection and criminal identification to enhance security measures. The system utilizes real-time video feeds to identify weapons and detect suspicious individuals. Using advanced computer vision algorithms, the system can accurately detect various types of weapons and recognize known criminals by comparing them against a database of images. Once a weapon or suspicious individual is detected, the system triggers real-time alerts to notify security personnel or law enforcement agencies. This proactive approach enables immediate action, potentially preventing criminal activities or acts of violence. The system's capability to operate in real-time and provide instant alerts makes it a valuable tool for enhancing public safety and security in various environments, such as airports, train stations, schools, and public events. This system uses cameras and computer smarts to find weapons and suspicious people in real-time. When it sees something bad, it sends an alert right away so security forces can respond quickly. This can help keep people safe in places like schools, train stations, and important buildings.},
        keywords = {Machine Learning, Weapon Detection, Criminal Identification, Real-time Video Analysis},
        month = {},
        }