Unmanned aerial vehicle target tracking system and method based on machine vision

Abstract

The invention discloses an unmanned aerial vehicle target tracking system and method based on machine vision, relates to the related field of unmanned aerial vehicles, and aims at solving the problemsthat in the prior art, disturbance and time lag have more and more influences on an unmanned aerial vehicle along with increase of single flight time of the unmanned aerial vehicle, and the target tracking is influenced. A flight control single-chip microcomputer is in bidirectional data connection with the flight simulation module. The input end of a flight simulation module is connected with the output end of an attitude dynamics model establishing module. The input end of the flight control single-chip microcomputer is connected with the output end of the A / D converter. The input end of the A / D converter is respectively connected with the output ends of an acceleration sensor, a gyroscope and a barometric altimeter; the output end of the flight control single-chip microcomputer is connected with the input end of a position controller, the output end of the position controller is connected with the input end of a flight driving motor, and the output end of the flight driving motor is connected with the input ends of flight rotors.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicles, in particular to an unmanned aerial vehicle target tracking system based on machine vision. Background technique [0002] Machine vision is a rapidly developing branch of artificial intelligence. Simply put, machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system converts the captured target into an image signal through the machine vision product (that is, the image capture device, which is divided into CMOS and CCD), and transmits it to a dedicated image processing system to obtain the shape information of the captured target. According to the pixel distribution and Information such as brightness and color is converted into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results of the dis...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a UAV target tracking system based on machine vision to solve the problem that the disturbance and time lag are increasingly affecting the UAV with the increase of the single flight time of the UAV proposed in the background technology. Big, problem that affects target tracking

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