Optical Detecting Device Calibration via Light Intensity Mapping
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Solution Overview
Problem
Existing optical detection systems face errors due to inadequate control of image processing parameters, particularly in determining defects in objects, as the presence of flaws affects automatic detection techniques and algorithm design.
Innovation Solution
An optical detecting device and method that adjusts light intensity to match a target correction value for image blocks, records the target light intensity, and calculates ratios to generate a mapping table for accurate image processing, ensuring consistent gray values across pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing parameters are controlled inadequately, then the automatic optical detection system operates simply, but detection accuracy deteriorates due to errors in flaw detection
Solution Approach 1:
The patent applies preliminary action by performing calibration before actual detection. A correction object is imaged first to obtain a mapping table that corrects for optical system imperfections. This pre-processing step establishes the foundation for accurate subsequent detections without requiring complex real-time parameter adjustments during actual measurement
Solution Approach 2:
The patent utilizes parameter changes by adjusting light intensity to a specific target value during calibration. The mapping table is generated based on gray values obtained at this optimized light intensity parameter, enabling the system to compensate for optical distortions and improve detection accuracy through parameter optimization rather than complex control mechanisms
2Reliability
If light intensity is not adjusted to match target correction values, then the imaging process is simple and fast, but gray value consistency across pixels deteriorates leading to detection errors
Solution Approach 1:
The calibration process is performed in advance to establish a mapping table that ensures gray value consistency. By completing the light intensity adjustment and mapping table generation before actual detection, the system achieves reliable gray value consistency without requiring time-consuming adjustments during production detection
Solution Approach 2:
The patent uses a correction object as a reference copy to establish the mapping table. This correction object serves as a standard template that captures the optimal gray value distribution, which is then used to correct and standardize subsequent images of actual detection objects, ensuring consistency without repeated adjustments
3Measurement precision
If a mapping table is not generated through ratio calculation, then the image processing is simpler, but detection precision deteriorates due to inadequate correction of optical variations
Solution Approach 1:
The mapping table is generated in advance through ratio calculation of gray values. This pre-computed correction table stores the necessary adjustment factors that are then applied during detection, achieving high precision without requiring complex real-time calculations during actual measurement processes
Solution Approach 2:
The mapping table serves as an intermediary element between the optical system and the detection algorithm. It mediates the transformation of raw pixel data into corrected measurement data by applying the ratio-calculated correction factors, thereby improving detection precision without requiring direct complex processing of optical variations
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces error probability and increases accuracy in detecting defects by maintaining consistent gray values and adjusting images according to the mapping table, enhancing the reliability of optical detection systems.
Implementation Method 1
a light source (500) coupled to the processor (120). The processor (120) is configured to adjust a light intensity of the light source (500)
Data Source
AI summary
An optical detecting device includes an image capturing device and a processor. The processor is coupled to a light source and an image capturing device. The processor is configured to adjust a light intensity of the light source for irradiating a correction object in order that a gray value of at least one image block, captured by the image capturing device, of the correction object matches a target correction value, and record a target light intensity while the target light intensity matches the target correction value; control the light source to irradiate light on a testing object with the target light intensity, and control the image capturing device to capture a testing object image of the testing object; and calculate ratios of a target gray value to the gray value of a plurality of pixels of the testing object image to obtain a mapping table.