Optical Sensor Signal Adjustment for Spectral Precision
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Solution Overview
Problem
Existing optical sensing devices face challenges in achieving an ideal spectral response due to ineffective light filtering, leading to complications in manufacturing and increased costs, especially with non-visible infrared light and interfering energy affecting the output signals.
Innovation Solution
An optical sensing device comprising a first optical sensor and a reference optical sensor, along with a processing unit that adjusts the output signal to approximate an ideal spectral response using predefined parameters, eliminating the need for additional filters and coatings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple coatings or optical filters are used to filter out undesired light, then the spectral response precision is improved, but the device complexity and manufacturing cost increase
Solution Approach 1:
The patent changes the approach from physical filtering (multiple coatings) to signal processing (algorithmic adjustment). The processing unit receives output signals from multiple optical sensors with different spectral responses and uses predefined adjustment parameters to compute a corrected signal that approximates the ideal spectral response. This transforms the problem from optical domain to electrical domain, reducing physical complexity while maintaining precision.
Solution Approach 2:
The patent replaces the mechanical/optical system of multiple physical filters and coatings with an electrical/electronic signal processing system. Instead of using multiple optical filters to achieve spectral separation, the system uses electronic sensors with known spectral characteristics and processes their outputs through mathematical operations to achieve the desired spectral response, thereby reducing device complexity.
2Measurement precision
If multiple coatings or optical filters are used to filter out undesired light, then the spectral response precision is improved, but the manufacturing cost increases
Solution Approach 1:
The patent shifts the complexity from manufacturing (multiple precision coatings) to programming (adjustment parameters). The sensors can be manufactured with standard, less expensive materials and coatings, and the precise spectral response is achieved through software-based signal adjustment using predefined parameters stored in memory, thereby reducing manufacturing costs.
Solution Approach 2:
The patent replaces expensive multi-layer optical filtering structures with a more economical electronic signal processing system. The manufacturing cost is reduced by using simpler sensor coatings and replacing complex optical filtering hardware with programmable signal adjustment algorithms executed by a processing unit.
3Measurement precision
If multiple coatings or optical filters are used to filter out undesired light, then the spectral response precision is improved, but the productivity decreases
Solution Approach 1:
The patent changes the approach from physical filtering (requiring multiple coating layers) to digital signal processing. The processing unit rapidly computes adjusted output signals using stored adjustment parameters, enabling real-time spectral correction without the time-consuming manufacturing and alignment processes required for multiple optical coatings, thereby improving productivity.
4Measurement precision
If light filtering materials are used to filter out blue and green visible light, then the red light detection is improved, but the infrared light filtering is insufficient
Solution Approach 1:
The patent makes the signal adjustment system universal by using multiple optical sensors with different spectral characteristics (including sensors sensitive to different wavelength ranges). The processing unit combines their outputs using adjustment parameters to achieve the desired spectral response, making the system capable of handling various interference types (blue, green, infrared) through a single multi-functional approach rather than requiring separate filtering solutions for each wavelength range.
Solution Approach 2:
The patent uses parameter-based signal adjustment to compensate for the insufficient infrared filtering capability of conventional blue/green light blocking materials. By receiving signals from multiple sensors and applying predefined adjustment parameters, the system can mathematically eliminate infrared interference effects even when physical filters are inadequate, thereby achieving precise red light detection without effective infrared optical filtering.
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 device generates an adjusted output signal with a spectral response that closely matches the ideal, effectively filtering out undesired light and interfering energy without requiring multiple coatings or filters, thus simplifying manufacturing and reducing costs.
Implementation Method 1
The first optical sensor corresponds to a first specified ideal spectral response for generating a first output signal corresponding to light detected thereby
Data Source
AI summary
A method of signal adjustment in an optical sensing device is provided. The optical sensing device includes a first optical sensor and a first reference optical sensor. The first optical sensor corresponds to a first specified ideal spectral response and generates a first output signal corresponding to light detected thereby. The first reference optical sensor generates a first reference signal corresponding to light detected thereby, and is disposed adjacent to the first optical sensor such that the light detected by the first reference optical sensor is substantially the light detected by the first optical sensor. The method includes the steps of: a) receiving the first output signal and the first reference signal; and b) generating a first adjusted output signal having a spectral response that approximates the first specified ideal spectral response, by adjusting the first output signal according to the first reference signal.


