Golf ball landing point prediction system based on image recognition

A technology of golf and image recognition, applied in the field of the Internet of Things, can solve the problems of economic loss of the court, finding the ball, delaying the progress of the game, etc., and achieve the effect of improving the level of playing, reducing loss, and improving the sports experience

Inactive Publication Date: 2018-08-21
成都云门金兰科技有限公司
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  • Summary
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AI Technical Summary

Problems solved by technology

[0003] When playing golf, players cannot predict the line and landing point of the golf ball. They often spend a lot of time looking for the ball, and sometimes they can't find the ball directly.
The occurrence of this kind of situation not only delays the progress of the game, but also affects the mood of the players. At the same time, the stadium also suffers certain economic losses.

Method used

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  • Golf ball landing point prediction system based on image recognition

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Embodiment Construction

[0020] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described with reference to the accompanying drawings.

[0021] Specifically, the golf ball landing point prediction system based on image recognition includes: a shot image acquisition unit, an image binarization processing unit, a picture information extraction unit, a flight trajectory calculation unit, a landing point coordinate synthesis unit, and a landing point position display unit ;

[0022] The batting image acquisition unit, image binarization processing unit, picture information extraction unit, flight trajectory calculation unit, landing point coordinate synthesis unit and landing point position display unit are sequentially connected;

[0023] The batting image acquisition unit is used to collect the image of the moment when the ball is hit, and recognize the initial flig...

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Abstract

The invention discloses a golf ball landing point prediction system based on image recognition, comprising a strike image acquisition unit, an image binarization unit, an image information extractionunit, a flight trajectory calculating unit, a landing point coordinate synthesis unit and a landing point position displaying unit. The strike image acquisition unit, the image binarization unit, theimage information extraction unit, the flight trajectory calculating unit, the landing point coordinate synthesis unit and the landing point position displaying unit are connected in sequence. The golf ball landing point prediction system based on image recognition helps improve the intelligence level of a golf course and improve sports experience for players.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to a golf ball drop prediction system based on image recognition. Background technique [0002] Golf is a healthy sport, more and more popular. Moreover, the intelligence of the golf course can greatly enhance the player's sensory experience and give people a pleasant feeling. [0003] When playing golf, players cannot predict the course and landing point of the golf ball, and often spend a lot of time looking for the ball, and sometimes they can't find the ball directly. The occurrence of this kind of situation not only delays the progress of the game, but also affects the mood of the players. At the same time, the stadium also suffers certain economic losses. How to predict the landing point of the ball after hitting the ball will not only help the player to complete the next shot quickly, but also analyze and score the player's hitting action and hitting quality, so as to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A63B69/36A63B71/06
CPCA63B69/3658A63B24/0021A63B69/36A63B71/0619A63B2024/0031A63B2024/0053A63B2220/05A63B2220/20A63B2220/30A63B2220/806
Inventor 陈宥伯
Owner 成都云门金兰科技有限公司
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