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@article{196843,
        author = {Mr. Rushikesh Pimple and Ms. Bhagyashali Kokode and Mr. Reetik Bhandari and Ms. Sanjoli Sharma and Mr. Satyam Shrivastav and Ms. Alisha Tighare},
        title = {An Implementation Paper on VigilAI: Smart Border Surveillance System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3735-3739},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196843},
        abstract = {This paper presents VigilAI, a real-time intelligent surveillance system designed to improve border security using computer vision techniques. Traditional surveillance systems depend on manual monitoring, which can lead to human error and slow response times. VigilAI solves these issues by integrating motion detection, face recognition, object detection, and multi-level threat classification into a single system. The proposed system uses background subtraction for efficient motion detection and face recognition to tell apart authorized and unauthorized individuals. It also employs a lightweight YOLO-based model for object detection to identify vehicles and animals. A high-priority threat detection module helps identify weapons, allowing for immediate alerts. The system includes a multi-level alert system that features buzzer alarms, snapshot capture, and real-time email notifications with location and timestamp information. Designed for low-cost deployment, VigilAI runs efficiently on standard hardware without needing high-end computational resources. Experimental results show that the system successfully detects intrusions and responds in real time, making it suitable for use in resource-limited and remote border areas.},
        keywords = {Border Security, Artificial Intelligence, Computer Vision, Face Recognition, Motion Detection, Real-Time Surveillance.},
        month = {April},
        }