Accurate detection method for ball hitting position in table ball game

Abstract

The invention discloses a method for accurately detecting a hitting position in a table ball game, which comprises the following steps of: positioning and photographing a target hitting position by adopting high-speed camera equipment in the early stage of table ball hitting practice, and forming initial target position information in a software system; when the billiard hitting practice is carried out, high-speed photographing is carried out on the hitting position in the actual hitting process in a triggering mode, actual hitting position information calculation is carried out on the photographing result through a software system, the actual hitting position information is compared with initial target position information, deviation information is obtained, and the deviation information is fed back to a practicer in a chart and / or sound broadcasting mode. And a process of accurately detecting the hitting position is completed. According to the mode, the practice process of the table-ball sports is facilitated, the practice efficiency and effect are improved, the practice and error correction processes are synchronously carried out, the applicability is good, the speed is high, the accuracy is high, and the practice requirements of professional or non-professional persons on the table-ball sports are fully met.

Description

technical field [0001] The invention relates to a detection method, in particular to an accurate detection method for assisting players in judging the hitting position in billiard games. Background technique [0002] Billiards is a popular sport for all ages. If you want to play billiards well, the accuracy of where the cue ball or target ball goes after being hit, that is, the accuracy of the target's moving position after being hit is very important. In the prior art, when the trainer is training, the judgment of the accuracy of the target movement position is mainly based on the eyes. Due to the high-speed movement of the ball, the naked eye cannot see clearly at all, and it is impossible to accurately feedback the accuracy of the target movement after the last hit. Therefore, it is impossible to provide an accurate reference for the next hit, and the training efficiency is low. The training process is mainly based on experience, and quantitative information cannot be f...

AI Technical Summary

Problems solved by technology

In the prior art, when the trainer is training, the judgment of the accuracy of the target movement position is mainly based on the eyes. Due to the high-speed movement of the ball, the naked eye cannot see clearly at all, and it is impossible to accurately feedback the accuracy of the target movement after the last hit. Therefore, it is impossible to provide an accurate reference for the next hit, and the training efficiency is low. The training process is mainly based on experience, and quantitative information cannot be fed back to the practitioner or trainer, let alone a large amount of effective training data to support the training process. , especially for professional athletes, the training effect and training quality are obviously affected

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