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@article{178341,
        author = {Gagan D M and Govardhana M and Sudeep and Shwetha S V and Asst.Prof.N.Umamaheswari},
        title = {Real-Time Crime Detection System Using Video Surveillance Technology},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6818-6822},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178341},
        abstract = {This paper presents a real-time crime detection system leveraging video surveillance technology to identify and classify critical incidents such as weapon detection, accidents, and explosions. The system processes video input from a webcam using advanced machine learning techniques to detect suspicious activities accurately. Upon detection, the system captures a snapshot of the event and sends an alert through the Telegram messaging platform, ensuring immediate notification to relevant authorities. By automating crime detection and alerting, the proposed system minimizes human monitoring requirements and enhances public safety through rapid incident response. This research contributes to the growing need for intelligent surveillance systems capable of addressing real-world security challenges effectively.},
        keywords = {Real-time crime detection, video surveillance, machine learning, weapon detection, accident detection, explo- sion detection, Telegram alerts, intelligent surveillance.},
        month = {May},
        }