Unmanned aerial vehicle competition judgment equipment based on image recognition and augmented reality technologies

Abstract

The invention discloses unmanned aerial vehicle competition judgment equipment based on image recognition and augmented reality technologies. According to the equipment, a collection system captures alive picture of participating unmanned aerial vehicles through a depth camera and uses the live picture as a to-be-recognized image; feature information of the to-be-recognized image is extracted andcompared with feature information in a pre-established feature information base; when the feature information in the feature information base is the same as the acquired feature information, an augmented reality method is utilized to perform rendering, and flight tracks of the participating unmanned aerial vehicles are drawn and superposed to the live picture; meanwhile, ranging is performed through the depth camera, and the position relation between each participating unmanned aerial vehicle and a participating environment is analyzed; and when a certain participating unmanned aerial vehiclegoes out of the participating environment, the system can immediately give an alarm and send information for a spot judge to make a judgment. Through the equipment, the high-speed operation state, which cannot be recognized with eyes, of the unmanned aerial vehicles can be clearly recognized, scoring can be performed, therefore, disputes on competition result penalty are reduced, and the watchingexperience of audiences in enjoying an unmanned aerial vehicle flight competition is enhanced.

Description

technical field [0001] The invention relates to a device, in particular to a UAV competition referee device based on image recognition and augmented reality technology, and belongs to the technical field of UAV referee discrimination application. Background technique [0002] The existing judging system for UAV flight competitions mainly relies on the subjective judgment of human referees, such as spraying powder or binding streamers to enlarge the trajectory of the UAV during the flight of the UAV, and puncturing balloons to judge; When the referee system judges the flight, the referee is far away from the drone, and cannot accurately judge the details of the flight process. There are visual obstructions during the flight, and it is impossible to replay exciting shots or controversial situations. It is difficult to achieve fairness and openness. Bringing a competition experience with doubtful fairness, the whole flight footage of the drones in the competition is captured by...

AI Technical Summary

Problems solved by technology

[0002] The existing UAV flight competition evaluation system mainly relies on the subjective judgment of human referees, spraying powder or binding ribbons to enlarge the trajectory of the UAV during the flight of the UAV, and puncturing balloons and other auxiliary methods to judge; When the referee system is judging the flight, the referee is far away from the drone and cannot accurately judge the details of the flight process. There are visual obstructions during the flight, and it is impossible to replay exciting shots or controversial situations. It is difficult to achieve fairness and openness. Bringing a competition experience with doubtful fairness, the whole flight of the drone in the game is captured by the camera, transmitted to the computer, and handed over to the artificial intelligence program to identify and capture the running track of the participating drone (whether the boundary touches the line / whether it is a foul) / attitude score, etc.), and then the image processing algorithm synthesizes the image combined with virtual reality, and the network and other means are put on the screen, which can clearly show the audience the performance of the high-speed running state drone that cannot be recognized by the naked eye. Ranging can judge whether the drone has left the designated area, which is more fair than human judgment from the naked eye and experience, and also avoids a large number of missed judgments. Therefore, a UAV competition referee device based on image recognition and augmented reality technology Will have a good market prospect

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