Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Pal Pandian, P.; Philip, Sam Title A name given to the resource Smart UAV Surveillance Platform with Onboard Object Detection and Geofencing for Public Safety Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of the 2025 International Conference on Computational Innovations and Sustainable Technologies, ICCIST 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCIST67338.2025.11438294" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCIST67338.2025.11438294</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037460831?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037460831?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pal Pandian P., Christ University, School of Engineering and Technology, Department of Mechanical and Automobile Engineering, Bangalore, 560074, India; Philip S., Christ University, School of Engineering and Technology, Department of Mechanical and Automobile Engineering, Bangalore, 560074, India Description An account of the resource Modern public safety operations are also changing due to the incorporation of artificial intelligence (AI) into the use of Unmanned Aerial Vehicles (UAVs) enabling maneuverability, open area, and continuous surveillance. The apparently exact plan and assessment of a clever UAV watchdog platform with on-board article locating, autonomous navigation using geofences, and edge processing will be introduced in this paper. The proposed system will be composed of a Pixhawk flight controller, a u-blox M10 GNSS module to provide navigation capabilities, and NVIDIA Jetson to run high-definition aerial video processing, specifically to recognize and use a YOLO-based detection pipeline. A simulated environment of a public event was used to test the accuracy of detection, inference latency, detection of anomalies and geofencing compliance across different environmental and crowd circumstances. The results of experiments also show average detection accuracy rates of 93.42%, inference delays of less than 60 ms, and few boundary violations, confirming the use of the system in responsive and secure use of aerial monitoring. The open-source modular nature of the platform permits the addition of other sensors and its subsequent expansion ability into multi-drone collaborative applications to note the prospects of such low-cost systems to influence large scale event tracking, disaster relief and urban security applications. 2025 IEEE. Subject The topic of the resource anomaly detection; autonomous navigation; edge computing; geofencing; object detection; public safety; UAV surveillance; YOLO Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833159676-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online