Design and Implementation of an Image Processing-Based Ping Pong Training Robot

This study aims to develop an image-processing-based ping-pong training robot to facilitate effective practice for ping-pong players. In the developed system, the image of the ping-pong player is processed from the camera integrated into the robot, the player's position is determined and the ball is directed to areas that are difficult for the player to reach. The reason for launching the ball into difficult areas is to improve the players' physical and strategic abilities. In the process of throwing the ball, the ball is placed in the hopper, driven from the hopper to the launch point with the help of a servo motor, and launched with the help of two DC motors. Experimental results confirm that the robot accurately detects the player's position and successfully directs the ball to the intended target area. Furthermore, the findings demonstrate that this system, which integrates image processing and robotic control technologies, provides a robust and adaptable training tool for ping-pong players.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/asyu62119.2024.10757156
Primary Topic
AI and Big Data Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Design and Implementation of an Image Processing-Based Ping Pong Training Robot

Ali Ajam, Mert Aydın, Volkan Sezer, Sebahattin Bektaş et al.
AI and Big Data Applications
article

Design and Implementation of an Image Processing-Based Ping Pong Training Robot

Ali Ajam, Mert Aydın, Volkan Sezer, Sebahattin Bektaş, Ahmet Kağızman
article en

Abstract

This study aims to develop an image-processing-based ping-pong training robot to facilitate effective practice for ping-pong players. In the developed system, the image of the ping-pong player is processed from the camera integrated into the robot, the player's position is determined and the ball is directed to areas that are difficult for the player to reach. The reason for launching the ball into difficult areas is to improve the players' physical and strategic abilities. In the process of throwing the ball, the ball is placed in the hopper, driven from the hopper to the launch point with the help of a servo motor, and launched with the help of two DC motors. Experimental results confirm that the robot accurately detects the player's position and successfully directs the ball to the intended target area. Furthermore, the findings demonstrate that this system, which integrates image processing and robotic control technologies, provides a robust and adaptable training tool for ping-pong players.

Istanbul Technical University (TR)
Istanbul Teknik Üniversitesi
Openalex Percentile: Top 60%
AI and Big Data Applications
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