Autel EVO II Drone tracking six types of subjects & in three modes
Autel EVO II Drone smart tracking uses deep learning algorithms to detect six types of subjects in real-time: pedestrian, cyclist, car, truck, boat, or animal. A real-time tracking algorithm is used to automatically track the selected subject while avoiding obstacles during flight. The function can track the subject in three modes: behind, side-by-side, or fixed position.
Look at the video to get more details of evo 2 follow modes
How EVO 2 Follow Mode
Using the same 12 computer vision sensors keeping you safe.
EVO 2’s front, rear, left, right, top, and bottom binocular vision sensing systems use image data to calculate the distance between the aircraft and potential obstacles.when an obstacle is detected, EVO II can navigate itself in all directions while avoiding obstacles.
The front, rear, and bottom binocular vision systems also feature the Starpoint™ Positioning System. This system uses ultrasonic sensors to calculate the current height of the aircraft, and uses the binocular cameras to obtain location information via image analysis.
