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@article{190084,
        author = {Nikhil Revankar and Keerthan V and Prajwal L and Vidyashree M S},
        title = {Smart Maritime Border Alert System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {2890-2893},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190084},
        abstract = {The safety of coastal fishermen has become a significant concern due to accidental border crossings into foreign Exclusive Economic Zones (EEZs). These events are commonly attributed to rough sea conditions, limited access to navigation aids, and insufficient awareness of international maritime limits. This study presents an integrated maritime alert framework that merges GPS-based positioning, heading estimation via an MPU6050 inertial sensor, and geofencing using global EEZ boundary data. A Raspberry Pi functions as the core processing unit, analyzing real-time positional and orientation data to estimate the nearest maritime boundary using the Haversine distance model. Additionally, a heading-sensitive detection approach filters borders to consider only those aligned with the vessel’s forward direction of travel. The system implements a three-level safety classification mechanism alongside an audible buzzer alert to warn fishermen as they near sensitive boundary regions. A dynamic OpenStreetMap based interface visually represents the vessel’s location, orientation, and associated risk level. The proposed solution is intended to deliver a cost-effective, dependable, and easily deployable mechanism to improve safety.},
        keywords = {GPS Tracking, Maritime geofencing, fishermen safety, Maritime borders, Raspberry Pi, Haversine Formula},
        month = {January},
        }