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@article{201233,
        author = {Sanjana .V. Shanbhag and Srushti D. Morade and Prof. Deepak Ranoji Naik},
        title = {SafeEYE AI: AI-Powered CCTV Surveillance for Real-Time Anomaly Detection with Instant Notifications},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {3463-3467},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201233},
        abstract = {In a modern landscape defined by rapid change, ensuring public safety requires a transition from manual oversight to automated real-time monitoring. Traditional surveillance often fails to provide immediate intervention because it relies on human operators who may overlook critical incidents due to fatigue or distraction. SafeEYE AI overcomes these limitations by integrating computer vision and deep learning to analyze CCTV feeds for specific threats like fire, weapons, and fighting. By utilizing advanced anomaly detection and a strategic thresholding concept, the system identifies dangerous patterns and instantly transmits evidence-based alerts via Firebase Cloud Messaging. This framework drastically improves situational awareness and response times, creating a more secure environment through the seamless application of intelligent automation.},
        keywords = {Surveillance, Anomaly Detection, Computer Vision, Deep Learning, Real-Time Monitoring, Public Safety},
        month = {May},
        }