5G and Edge Computing Enabled Search and Rescue Drones
Search and rescue operations during natural disasters like earthquakes and floods are often delayed and prove inefficient due to the unavailability and inaccessibility of the required resources. Traditional methods frequently fail to detect and rescue survivors in time. The proposed system is a revolutionary solution for search and rescue operations. This system operates with the integration of drone technology, AI, 5G communication, and edge computing. The YOLOv8 model is used for real-time inference of survivors by running it on the onboard edge device, Raspberry Pi 5, with the Hailo AI kit. The 5G network is utilized to facilitate low-latency, smooth, and secure data transmission by enabling real-time video streaming and control. This system enhances response time and thus provides a significant advantage to large-scale disaster search and rescue operations.
Authors
- Lingeshwaran Murugasamy (ORCID: https://orcid.org/0000-0002-5372-1448)
- A. M. Balamurugan (ORCID: https://orcid.org/0000-0002-1805-079X)
- Charan Velavan
Institutions
- St. Joseph's Institute of Technology (IN)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/icoei65986.2025.11013465
- Citations
- 2
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 9.99