Ball Passing Robot Posture Recognition Automation
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Solution Overview
Problem
Current tennis training systems lack fully-automatic tennis ball passing products based on human body posture recognition, requiring manual operation for ball retrieval.
Innovation Solution
An intelligent ball passing system utilizing a ball passing robot equipped with a video capture device, movement mechanism, and central processing module that employs a BP neural network to recognize and classify human body postures, enabling autonomous ball passing without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual operation is used for ball retrieval, then device complexity is reduced, but productivity decreases and user convenience deteriorates
Solution Approach 1:
The ball passing robot autonomously retrieves and passes balls without requiring manual operation. The system uses posture recognition technology to detect user needs and automatically navigates to retrieve balls, enabling the system to serve itself and eliminating the need for users to manually collect balls from rest areas.
Solution Approach 2:
The patent replaces manual mechanical operations with an automated robotic system. The mechanical system includes posture recognition modules, control units, and movement mechanisms that substitute human hands and decision-making, transforming a manually-operated process into an automated one that improves productivity.
2Ease of operation
If fully-automatic ball passing system is implemented, then ease of operation improves, but device complexity increases
Solution Approach 1:
The ball passing robot autonomously retrieves and passes balls without requiring manual operation. The system uses posture recognition technology to detect user needs and automatically navigates to retrieve balls, enabling the system to serve itself and eliminating the need for users to manually collect balls from rest areas.
Solution Approach 2:
The patent introduces a control system as an intermediary between the user's posture detection and the robot's physical actions. This intermediary layer processes visual information, recognizes postures, and translates them into coordinated motor commands, managing the complexity internally while presenting a simple interface to the user.
3Loss of time
If manual ball retrieval is required, then loss of time increases, but automation level remains low
Solution Approach 1:
The ball passing robot autonomously retrieves and passes balls without requiring manual operation. The system uses posture recognition technology to detect user needs and automatically navigates to retrieve balls, enabling the system to serve itself and eliminating the need for users to manually collect balls from rest areas.
Solution Approach 2:
The system proactively monitors user postures in real-time and automatically initiates ball retrieval actions before the user needs to manually request them. By continuously detecting posture changes and predicting when a ball pass is needed, the system performs the retrieval action in advance, reducing waiting time and improving the flow of the activity.
Data Source
AI summary
An intelligent ball passing system is provided, including: a ball passing robot configured for carrying out a ball passing action according to human body postures, including: a video capture device configured for acquiring human body posture data, a movement mechanism configured for driving the ball passing robot to move according to a ball passing instruction, and a central processing module connected to the movement mechanism and the video capture device respectively; and a software system configured for controlling the ball passing robot to carry out the ball passing action, the central processing module recognizing and classifying the human body postures by using the software system that uses a BP neural network.