Table tennis movement system for code scanning and positioning based on non-source radio frequency labels

Abstract

The invention discloses a table tennis movement system for code scanning and positioning based on non-source radio frequency labels. The system is composed of a table tennis table which is provided with a non-source radio frequency label reader, a table tennis net which is provided with a non-source radio frequency label reader, table tennis bats which are provided with pressure sensors, table tennis balls which are provided with the non-source radio frequency labels, and a server which conducts code scanning and position calculation according to the non-source radio frequency labels. The table tennis table and the table tennis net which are provided with the non-source radio frequency label readers send radio frequency signals, receive stress radio frequency signals which are generated bythe table tennis balls with the non-source radio frequency labels, record the sending time and the receiving time, and send time values to the server which conducts code scanning and position calculation according to the non-source radio frequency labels; the table tennis bats which are provided with the pressure sensors acquire pressure sensing data when the bats collide with the table tennis balls and send the data to the server which conducts code scanning and position calculation according to the non-source radio frequency labels. The table tennis movement system solves the problem that an existing table tennis movement system based on the internet of things does not have the function of calculating the positions of the table tennis balls in real time.

Description

technical field [0001] The invention belongs to the technical field of intelligent table tennis sports, in particular to a table tennis sports system based on passive radio frequency tag scanning code 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 videos of table tennis in motion, 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 ten...

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 videos of table tennis in motion, 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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