Eyes Move, Drones Move Explore the Feasibility of Various Eye Movement Control Intelligent Drones

Nearly all drones on the market are controlled by joystick controllers. The advantage of this traditional control method is that the operator can accurately control or adjust the flight angle and distance of the drone, but there also exists a disadvantage: without practice, the operator will easily mix up the corresponding function of each joystick and hardly tell the direction of flight. Therefore, drones need a new type of control method. As a device invented at the end of the 20th century, eye trackers are not a completely new concept. Eye trackers are currently limited to expensive psychological research, but this type of instrument has little practical value for ordinary consumers. However, the drones can be effectively combined with the eye tracker and take full advantage of both equipment. This article explores the possibility of combining eye trackers with drones, and in particular, explores whether eye trackers can easily and accurately control drones. The experiments will be performed to see if the accuracy and speed of the drone will be guaranteed when using the eye tracker to control the drone, and if the eye movement control method can help the user faster To achieve the instructions they want to accomplish when compared with the original control method of the drone, Image process algorithms, which belong to a branch of Artificial intelligence (AI), the most potential computer science tool in the 21st century, can complete numerous equation learning tasks. It is a low-cost and efficient exploration to apply the human eye recognition framework (Dlib and OpenCV) to real-time detection of eye movements to control the drones.