Smart UAV Surveillance Platform with Onboard Object Detection and Geofencing for Public Safety
- Title
- Smart UAV Surveillance Platform with Onboard Object Detection and Geofencing for Public Safety
- Creator
- Pal Pandian, P.; Philip, Sam
- Description
- 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.
- Source
- Proceedings of the 2025 International Conference on Computational Innovations and Sustainable Technologies, ICCIST 2025;
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- anomaly detection; autonomous navigation; edge computing; geofencing; object detection; public safety; UAV surveillance; YOLO
- Coverage
- 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
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833159676-7;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Pal Pandian, P.; Philip, Sam, “Smart UAV Surveillance Platform with Onboard Object Detection and Geofencing for Public Safety,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25932.
