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Intelligent Tennis Ball Picking Robot Based on Visual Recognition

Author(s)

Jiaqing Huang*, Yinying Li, Shuo Feng, Ruixi Guo, Peihong Zheng

Affiliation(s)

College of Electrical Engineering, Southwest Minzu University, Chengdu, Sichuan, China *Corresponding Author.

Abstract

Aiming at the problem that most of the time in tennis training is spent on picking up scattered tennis balls and cleaning the court, an intelligent tennis ball picking robot based on visual recognition is designed. In the tennis ball picking robot, the color contour recognition method is first introduced to realize the visual recognition technology, and then the robot's autonomous navigation and obstacle avoidance are realized through the sensor fusion SLAM (Simultaneous Location and Mapping) mapping technology. The tennis ball picking and storage are completed by using the functional features such as visual recognition, SLAM mapping and rotating picking mechanical structure, and then the fine dust on the court is adsorbed by the electrostatic dust collector. After testing the relevant mechanical structure design and software implementation results, the designed intelligent tennis ball picking robot can effectively identify, pick up and store tennis balls, and has a good dust removal effect. This intelligent automatic tennis ball picking robot can be used on the tennis court, thereby improving the picking efficiency, saving time and saving human resources.

Keywords

Multi-Sensor Fusion Algorithm; SLAM; OpenCV Algorithm; Color Contour Recognition Method

References

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