Ball Feeder Sensor Arm for Basketball Shot Tracking
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Solution Overview
Problem
Existing systems struggle to consistently and accurately track player positions and shot sequences in dispersed basketball games, such as knockout and horse, across multiple courts, making it difficult to provide effective performance feedback and training.
Innovation Solution
A player monitoring system utilizing sensors and processors to track player and ball movements, determine shot trajectories, and provide real-time feedback, enabling dispersed game play and training across multiple locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to track player and ball movements in dispersed games, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system divides the tracking function into separate modules: sensors for capturing raw data, processors for analyzing movements and determining trajectories, and feedback systems for performance evaluation. This segmentation allows each component to be optimized independently while working together to achieve accurate tracking across dispersed locations.
Solution Approach 2:
The patent introduces intermediate processing layers between sensors and the final tracking output. Processors act as intermediaries that receive raw sensor data, filter and analyze it to determine player and ball movements, then pass processed trajectory information to feedback systems. This intermediary layer reduces direct system complexity by centralizing processing functions.
2Productivity
If real-time tracking is implemented across multiple courts, then productivity is improved, but loss of time increases due to network delays
Solution Approach 1:
The system performs preliminary processing of sensor data locally at each court location before transmitting to central servers. Trajectories and performance metrics are calculated in advance at distributed nodes, reducing the amount of data that needs to be transmitted over networks and minimizing time loss due to network delays while maintaining real-time feedback capability.
Solution Approach 2:
The patent transitions from centralized single-point processing to a distributed multi-dimensional processing architecture. Multiple processors operate simultaneously at different locations (dimensions), each handling local tracking tasks independently, then synchronizing results. This dimensional distribution eliminates single-point bottlenecks and reduces overall system response time despite network delays.
Data Source
AI summary
A ball feeding system has a ball feeder that is configured to receive a basketball and launch the basketball to a shooter for enabling the shooter to shoot the basketball toward a basketball goal. The ball feeder is coupled to a sensor (e.g., a camera) by an arm that extends from the ball feeder, and the sensor is configured to sense the basketball as it is traveling on a trajectory toward the basketball during a shot of the basketball by the shooter. At least one processor is configured to determine, based on the sensor, at least one trajectory parameter indicative of the trajectory and provide feedback indicative of a performance of the shooter in shooting the basketball.