An Effective Drone Surveillance System Using Thermal Imaging

Surveillance is the process of continuous observation of circumstances, an area, or person. This generally occurs in a military scenario where surveillance of war areas and adversary territory are crucial for the nation’s security. Human surveillance is accomplished by conveying workforce in close sensitive areas to continually screen for changes. In this paper, we propose to design a drone that is used to detect people by using a smart thermal imaging surveillance system with the help of neural networks. The thermal imaging dual-spectrum camera placed on the drone is capable of working under cover of darkness and in conditions where there is condensation from fog and rain with no external illumination. The drone is capable of differentiating native military men from intruders by implementing RFID technologies. The combination of the drone and long-range surveillance capability along with secured data communication makes the system ideal for addressing security-related challenges in critical areas on guarded premises.