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

Identifier

https://doi.org/10.1109/ICCIST67338.2025.11438294

https://www.scopus.com/pages/publications/105037460831?origin=resultslist