Optical Sensor Distance Error Correction via Image Gradation
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Solution Overview
Problem
Optical sensors used for non-invasive bio-information estimation face accuracy issues due to deviations in the distance between the light source and detector, leading to variations in estimated bio-information values across different devices.
Innovation Solution
A method and apparatus for correcting the error in the distance between the light source and image sensor of an optical sensor by emitting light, acquiring images, and adjusting the detection area coordinates based on the image gradation and slope analysis, ensuring accurate bio-information estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the optical sensor is designed with a constant distance between light source and detector, then the manufacturing precision is improved, but the device complexity increases due to additional error correction mechanisms
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing correction values in a lookup table during the manufacturing process. The distance error correction is performed by simply accessing this pre-prepared table based on measured distance deviations, rather than implementing complex real-time calculation algorithms. This approach maintains manufacturing precision requirements while significantly reducing the complexity of the correction mechanism.
Solution Approach 2:
The patent replaces complex mechanical adjustment mechanisms with a software-based correction approach. Instead of using精密 mechanical structures to maintain exact distances, the system uses image processing algorithms and lookup tables to correct for distance variations digitally. This substitution of mechanical precision requirements with computational correction reduces overall device complexity while maintaining measurement accuracy.
2Device complexity
If the distance between light source and detector varies, then the device complexity is reduced, but the measurement precision deteriorates due to absorbance changes
Solution Approach 1:
The patent implements feedback by measuring the actual distance deviation between light source and detector using image processing techniques. The system calculates the positions of the light source and detector, determines the distance error, and uses this feedback information to retrieve appropriate correction values from a lookup table. This closed-loop feedback mechanism compensates for distance variations, maintaining measurement precision despite structural simplifications.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting the absorbance calculation parameters based on the measured distance deviation. When distance errors are detected, the system modifies the absorbance computation using correction factors stored in the lookup table, which were pre-calculated for various distance scenarios. This allows the measurement system to adapt to different actual distances while maintaining accuracy.
3Measurement precision
If error correction processing is added, then the measurement precision is improved, but the processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing correction values for various distance deviation scenarios in a lookup table during the manufacturing or initialization phase. During actual measurement, the system only needs to determine the current distance error and retrieve the corresponding correction value from the pre-prepared table, rather than performing complex real-time calculations. This dramatically reduces processing time while maintaining high measurement precision.
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
The solution effectively corrects distance deviations, enhancing the accuracy and consistency of bio-information estimation across different optical sensor devices by resetting the detection area coordinates, thereby improving the precision of bio-data measurement.
Implementation Method 1
emitting light to a material by driving the light source, acquiring an image of the material by the image sensor
Data Source
AI summary
Provided is a method of correcting an error of an optical sensor including a light source and an image sensor, the method including emitting light to a material by driving the light source, acquiring an image of the material by the image sensor, and correcting an error of a distance between the light source and the image sensor of the optical sensor based on a gradation of the acquired image of the material.


