Improvement of Image Processing for a Collaborative Security Flight Control System with Multiple Drones

In recent years, it has become possible for anyone to purchase high-performance Drones at low price. The Drones are equipped with a unit of high-vision camera, multiple compact cameras for flight control, gyroscope, infrared sensor, GPS, and a processor for processing video images and sensor information for controlling the flight. Relatively stable flight is available for Drones by operating within human's sight. However, scope of shooting is narrow and precision of the images is poor by human's operation within his or her sight. Therefore, studies on automated operation of Drones are very important. In this paper, we improved our conventional collaborative security flight control system for multiple drones. We also presents the performance evolution. The proposed methods mainly consist of the pattern recognition using drones' camera images and the collaboration of drones. Our proposed image processing method can operate with 100 msec/frame and we found that the drone can trace the host drone.