Color Sensor Reference Pixel Output Level Adjustment
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Solution Overview
Problem
Existing methods for acquiring spectral information from color sensors require multiple read-outs and invalid output levels, leading to increased acquisition time and inefficiency.
Innovation Solution
A method that adjusts the output level of measurement pixels by selecting a type of target sample, measuring the output level of a reference pixel, calculating a level adjustment parameter, and adjusting the output level of measurement pixels to achieve valid spectral information acquisition in fewer measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple read-outs are performed to acquire spectral information, then measurement precision is improved, but acquisition time increases
Solution Approach 1:
The patent performs preliminary measurement of a reference pixel with known reflectance characteristics before measuring the target sample. This preliminary action enables calculation of level adjustment parameters that can be applied to subsequent measurements, allowing the system to achieve valid spectral information with fewer read-outs by pre-establishing the adjustment factors needed for accurate measurement.
Solution Approach 2:
The patent uses the measured output level of the reference pixel to calculate level adjustment parameters, which are then fed back to adjust the measurement of the target sample. This feedback mechanism allows the system to compensate for variations and achieve valid spectral information more efficiently by using the reference measurement to guide the target measurement adjustments.
2Measurement precision
If multiple measurements are performed to ensure valid output levels, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces a reference pixel as an intermediary element with known reflectance characteristics. This intermediary serves as a mediator between the light source and the target sample measurement, enabling the system to calculate level adjustment parameters that simplify the measurement process. The reference pixel acts as a calibration standard that reduces the complexity of ensuring valid output levels without requiring multiple complex measurements.
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 allows for the acquisition of spectral information at valid levels in a shorter time by performing only two measurements, reducing the overall acquisition time and improving efficiency.
Implementation Method 1
a reference pixel for measuring light from the target sample
Implementation Method 2
a measurement pixel for measuring spectral information of the target sample
Data Source
AI summary
A method of adjusting an output level of a measurement pixel may include a first step of selecting a type of a target sample from a plurality of previously determined sample type candidates, a second step of measuring an output level of a reference pixel based on light from the target sample incident on the reference pixel, a third step of selecting a level adjustment parameter associated with the type of the target sample selected in the first step, the plurality of candidates being associated with the type of the target sample, a fourth step of calculating a level adjustment amount of the measurement pixel, and a fifth step of adjusting the output level using the level adjustment amount when measuring an output level corresponding to the light from the target sample.