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AI Powered Post Disaster Surveillance Drone System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 88 |
| Year of Publication: 2026 |
| Authors: Madhav Manoj, Mitul K., Nathaneal Vinod, Rachel P. Jose, Kurien Thampy |
10.5120/ijca2026926539
|
Madhav Manoj, Mitul K., Nathaneal Vinod, Rachel P. Jose, Kurien Thampy . AI Powered Post Disaster Surveillance Drone System. International Journal of Computer Applications. 187, 88 ( Mar 2026), 39-43. DOI=10.5120/ijca2026926539
Abstract
A self-managing drone that is equipped with computer facilities has been developed, which can process artificial intelligence algorithms independently [7] without any external computer facilities. Such a drone can be equipped with an onboard computer, the Raspberry Pi 5, and other facilities that can improve the speed of the processing system [5]. The drone is equipped with the facilities to identify people in real time by detecting the positions of the joints of the human body and tracing people even when there is limited internet connectivity [11]. The efficiency of the drone in tracing people has been improved by incorporating information from various sources, such as standard cameras, information from thermal cameras, information from lasers, and location information. The technology is equipped with the facilities to trace the people in real time even when the people go out of sight, which is important in tracing people in emergency situations [13]. Such technology can trace disaster-prone areas at low costs, trace assets in difficult situations, and trace the environment in adverse situations.[1][4]
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