Adaptive Ball Imaging for Low-Power Event Detection
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Solution Overview
Problem
Existing sports ball tracking systems require high power consumption and inefficient use of imaging resources due to varying detection and analysis needs, particularly in determining parameters like spin and impact, which existing systems often necessitate multiple sensors or complex calculations.
Innovation Solution
A system utilizing a single imager with adjustable operating parameters to switch between low and high power states based on detected events, optimizing frame rate, resolution, and processing for efficient detection and parameter determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the imager operates continuously at high power state to capture all ball motions, then detection accuracy and frame rate are improved, but power consumption increases significantly
Solution Approach 1:
The system dynamically adjusts the imager's operational state based on real-time analysis of ball motion characteristics. The processor monitors motion parameters and transitions the imager between low-power and high-power states adaptively, ensuring high detection accuracy only when complex motions (spins, impacts) are detected, while conserving energy during simple motions.
Solution Approach 2:
The system changes the operational parameters of the imager based on detected motion conditions. When complex ball motions are detected, the system switches to high-power state with higher frame rates and resolution; otherwise, it operates in low-power state with reduced frame rate, optimizing the balance between detection accuracy and power consumption.
2Use of energy by moving object
If the imager operates at low power state to conserve energy, then power consumption is reduced, but detection accuracy and response time deteriorate
Solution Approach 1:
The system implements a feedback mechanism where the processor continuously analyzes ball motion parameters from captured images and uses this information to control the imager's power state. When complex motions are detected, the system feedback-triggers a transition to high-power state to maintain detection accuracy, ensuring the imager operates at optimal power level based on actual detection needs.
3Reliability
If multiple sensors are used to detect complex ball motions, then detection capability is improved, but device complexity increases
Solution Approach 1:
The system uses a single imager that performs multiple functions: capturing ball position, detecting motion patterns, analyzing spins, and identifying impacts. The processor executes complex algorithms to extract various motion parameters from the image data, making the single imager universally capable of detecting all types of ball motions without requiring additional specialized sensors.
Solution Approach 2:
The system replaces multiple physical sensors with a single imager combined with computational analysis. Instead of using separate mechanical or electronic sensors for different motion parameters, the system uses image processing algorithms to extract all motion information (position, velocity, spin, impact) from visual data, substituting mechanical sensing with optical sensing and computational processing.
Data Source
AI summary
A system and an imager configured with operating parameters for capturing a sequence of images and a processor. The processor is configured to detect a ball in a first sequence of images captured by the imager configured with current operating parameters; analyze one or more conditions relating to motion of the ball or motion of a ball striking implement based on location information for the ball or the ball striking implement determined from the first sequence of the images; when the one or more conditions are satisfied, trigger a change in an operational state of the imager; and detect the ball in a second sequence of images captured by the imager configured with adjusted operating parameters.