Projection System Minimum Stripe Width Detection Across Cameras
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Solution Overview
Problem
The minimum width of a pattern light's bright or dark part detectable by a camera varies with camera performance, requiring time and effort to determine, complicating image processing.
Innovation Solution
A projection system with a light modulator and image pickup device that projects and captures stripe patterns, determining the minimum width based on the number of pixels in both devices to standardize detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a camera is used to pick up stripe patterns with varying camera performances, then the adaptability to different camera devices is improved, but the processing time and effort to determine minimum detectable width increases
Solution Approach 1:
The system performs preliminary determination of the minimum detectable width by projecting a test stripe pattern and capturing it with the camera before actual measurement. This preliminary action characterizes the camera's detection capability in advance, so that subsequent measurements can proceed without repeating this time-consuming determination process.
Solution Approach 2:
The system automatically determines the minimum detectable width by having the camera capture a projected stripe pattern and processing the captured image to identify the finest distinguishable stripe. This self-characterization eliminates the need for manual determination or external calibration, reducing both time and user effort while adapting to each specific camera device.
2Measurement precision
If the minimum width of stripe patterns is determined manually for each camera, then the measurement precision can be optimized for each device, but the ease of operation deteriorates due to increased user effort
Solution Approach 1:
The system automatically performs the minimum width determination by projecting a stripe pattern and having the camera capture it, then processing the image to identify the minimum detectable width. This eliminates manual user effort completely while maintaining optimized measurement precision tailored to each camera's actual performance characteristics.
Solution Approach 2:
The projected stripe pattern serves as an intermediary that mediates between the camera hardware and the measurement system. By capturing this intermediate pattern, the system can automatically characterize the camera's detection limits without requiring direct user intervention or manual calibration procedures.
3Measurement precision
If stripe patterns with very fine widths are projected, then the measurement precision is improved, but the reliability of detection decreases when the width is below the camera's minimum detectable threshold
Solution Approach 1:
The system performs a preliminary determination of the camera's minimum detectable width by capturing a projected stripe pattern before conducting actual measurements. This preliminary characterization ensures that subsequent measurements use only stripe widths that are reliably detectable by the specific camera, preventing unreliable detection of sub-threshold patterns while maintaining high measurement precision for valid patterns.
Data Source
AI summary
A control method includes: causing a light modulator provided in a projection device to draw a drawn image including a first part having a first number of pixels; causing the projection device to project the drawn image as a projection image onto the projection target; causing an image pickup device to pick up the projection image including a second part corresponding to the first part and thus acquire a picked-up image; and determining a minimum width of stripe pattern including a bright part or a dark part detectable by the image pickup device, based on the first number of pixels and a second number of pixels, which is a number of pixels of a part corresponding to the second part of the projection image included in the picked-up image.