Table tennis sports system based on infrared sensing positioning

Abstract

The invention discloses a table tennis sports system based on infrared sensing positioning. The system is composed of an infrared sensor array, a table tennis bat provided with a pressure sensor, a table tennis ball provided with a special reflection coating and a server array calculating positions based on infrared sensing, wherein the table tennis bat provided with the pressure sensor and the table tennis ball provided with the special reflection coating belong to options. The infrared sensor array transmits and receives infrared rays, records voltage data and the difference of infrared raytransmitting and receiving times and sends the voltage data and the difference of infrared ray transmitting and receiving times to the server array calculating positions based on infrared sensing. Thetable tennis bat provided with the pressure sensor obtains pressure sensing data and then sends the pressure sensing data to the server array calculating positions based on infrared sensing. The problem is solved that an existing table tennis sports system based on internet of things has no the function of calculating the positions of a table tennis ball in real time.

Description

technical field [0001] The invention belongs to the technical field of intelligent table tennis, in particular to a table tennis system based on infrared induction positioning. Background technique [0002] At present, there are two main types of technologies for monitoring table tennis, one is computer vision analysis method, and the other is signal trigger judgment method. [0003] The computer vision analysis method mainly uses multiple high-speed high-definition cameras to collect real-time video footage of the table tennis movement, and performs target recognition and spatial positioning on each image in the video to form data, and then calculates the trajectory of the table tennis ball through filtering and tracking. The disadvantage is that the calculation complexity is high, and the performance requirements of the equipment are high. [0004] The signal trigger judgment method is to obtain the signal generated by the impact of the table tennis ball through the piezo...

AI Technical Summary

Problems solved by technology

[0003] The computer vision analysis method mainly uses multiple high-speed high-definition cameras to collect real-time video footage of the table tennis movement, and performs target recognition and spatial positioning on each image in the video to form data, and then calculates the trajectory of the table tennis ball through filtering and tracking. The disadvantage is that the calculation complexity is high, and the performance requirements of the equipment are high.

[0004] The signal trigger judgment method is to obtain the signal generated by the impact of the table tennis ball through the piezoelectric sensor installed on the table tennis table and the ball net, compare the strength and generation time of multiple signals, and calculate the impact position and approximate trajectory of the table tennis ball , the disadvantage of this scheme is that it cannot locate the position of the table tennis ball in the air, and the positioning accuracy is low

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