Imaging Control With Exposure-Gain Tuning for Processing Speed
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Solution Overview
Problem
Existing image capture systems face a trade-off between recognition accuracy and processing speed, with increased exposure time decreasing throughput and excessive gain increasing noise, leading to decreased accuracy.
Innovation Solution
An imaging control device that adjusts exposure time and gain settings to ensure image processing time is within a target value, using a setting adjustment unit to optimize these parameters for improved recognition accuracy and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the exposure time is increased to improve recognition accuracy, then the recognition accuracy is improved, but the cycle time of the recognition process increases, resulting in a decrease in system throughput
Solution Approach 1:
The system dynamically adjusts exposure time and gain parameters based on real-time image quality assessment. By changing these parameters adaptively rather than using fixed values, the system optimizes the balance between recognition accuracy and processing speed, improving throughput while maintaining accuracy when conditions permit.
Solution Approach 2:
The imaging control device implements dynamic control of exposure time and gain settings, allowing the system to adapt to varying lighting conditions and object characteristics. This dynamic adjustment enables the system to maintain high recognition accuracy while minimizing exposure time to preserve throughput, resolving the contradiction between accuracy and productivity.
2Measurement precision
If the gain is excessively increased to improve recognition accuracy, then the recognition accuracy is improved, but the noise increases, resulting in a decrease in recognition accuracy
Solution Approach 1:
The system employs feedback mechanisms where image quality metrics (including noise levels) are continuously monitored. Based on this feedback, the gain is adjusted to an optimal level that improves recognition accuracy without excessively amplifying noise. This closed-loop control prevents the harmful effect of noise while achieving the desired accuracy improvement.
Solution Approach 2:
Rather than using a fixed high gain setting, the system dynamically adjusts the gain parameter based on actual image conditions and noise characteristics. This adaptive parameter change allows the system to achieve sufficient recognition accuracy while maintaining noise at acceptable levels, avoiding the degradation of accuracy caused by excessive noise.
3Measurement precision
If the exposure time is increased to improve recognition accuracy, then the recognition accuracy is improved, but the processing time increases, resulting in a decrease in recognition accuracy due to delayed processing
Solution Approach 1:
The system implements dynamic adjustment of exposure time based on real-time assessment of image quality and processing requirements. By making the exposure time adaptive rather than static, the system achieves sufficient recognition accuracy while minimizing the time lost to image capture and processing, thereby preventing accuracy degradation from delayed processing.
Data Source
AI summary
One form of an imaging control device capable of improving recognition accuracy while ensuring processing speed comprises: an imaging processing unit that uses a camera to acquire an imaged image at an exposure time and gain that were set; an image processing unit that performs image processing on the imaged image and acquires information; a storage unit that stores set values for the exposure time and the gain, a processing time target value for the image processing in the image processing unit, and image processing results; and a setting adjustment unit that adjusts the set values for the exposure time and the gain such that the processing time in the image processing unit becomes at most the target value.