Marked Object Spin Estimation Under Low-Framerate Aliasing
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Solution Overview
Problem
Capturing accurate spin-related properties of moving objects, such as spin rate and spin axis, is challenging due to high speeds and the aliasing effects that occur when cameras operate below the necessary framerate for high spin rates, making real-time measurement difficult.
Innovation Solution
A spin-estimation system that applies predefined marker patterns to objects, captures images from multiple orientations, generates object marker segmentation maps, and uses deep-learning models to estimate spin rate and axis, with post-processing algorithms to refine the results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera operates at a lower framerate to reduce data processing load, then energy consumption and device complexity are reduced, but measurement precision of spin rate deteriorates due to aliasing effects
Solution Approach 1:
The patent applies preliminary action by pre-processing images to extract only the ball region and marker patterns before spin analysis. This reduces the data volume and processing complexity while maintaining measurement precision, as the system only processes relevant portions of images rather than entire frames at high framerate
Solution Approach 2:
The patent extracts the essential information needed for spin measurement by isolating marker patterns from the rest of the image. This extraction approach reduces processing complexity by focusing only on critical features while maintaining accurate spin rate measurement through specialized algorithms
2Measurement precision
If the image capture framerate is increased to capture high spin rates accurately, then measurement precision of spin rate is improved, but energy consumption and data processing load increase
Solution Approach 1:
The system performs preliminary image processing to extract only the ball and marker patterns before spin analysis, reducing the amount of data that requires intensive processing. This allows accurate spin measurement without the full energy cost of processing entire high-framerate images
Solution Approach 2:
The patent extracts only the essential marker pattern information from captured images for spin analysis. This extraction reduces energy consumption by processing only relevant data portions while maintaining measurement precision through specialized image processing algorithms
3Measurement precision
If marker patterns are added to the object surface, then measurement precision of spin properties is improved, but manufacturing precision requirements increase
Solution Approach 1:
The patent employs asymmetric marker patterns with distinct orientations that can be clearly identified and differentiated. This asymmetry design allows for robust spin axis measurement even with variations in marker placement, reducing the stringency of manufacturing precision requirements while maintaining measurement accuracy
Data Source
AI summary
A spin-estimation system may include an image-capturing sensor positioned and configured to capture images of an object within a field of view of the image-capturing sensor. The spin-estimation system may be configured to perform one or more operations to analyze spin properties of the object. The operations may include setting an image capture framerate that corresponds to a minimum spin motion of the object, printing an orientation marker on an outer surface of the object, and capturing, by the image-capturing sensor at the set image capture framerate, images of the object after starting motion of the object. The operations may include isolating the object in each image to generate isolated object images. The operations may include generating an object marker segmentation map based on the isolated object images. A spin rate and a spin axis may be estimated based on the object marker segmentation map using deep learning approaches.