Optical Sensor Threshold Calibration for Contaminant Accuracy
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Solution Overview
Problem
Optical sensors used in electronic devices face accuracy issues in detecting objects due to contaminants on their surface, which can lead to inaccurate user experience, especially when the devices are worn or used in different environments.
Innovation Solution
An optical sensing apparatus with multiple wavelength bands (visible, near-infrared, and short-wavelength infrared) that dynamically adjusts detection thresholds based on reference light intensities to account for contaminants, using a processor and memory to compare light intensities and adjust thresholds for accurate object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical sensors are used for proximity detection, then the device can detect object presence, but the detection accuracy deteriorates due to contaminants on the sensor surface
Solution Approach 1:
The system performs preliminary calibration by measuring reference light intensities at multiple wavelengths before actual object detection. This preliminary action establishes baseline values that account for any contaminants present on the sensor surface, allowing subsequent object detection to be performed accurately despite the contaminants' presence.
Solution Approach 2:
The system continuously monitors reference light intensities and uses this feedback to dynamically adjust detection thresholds. By comparing current reference measurements with stored baseline values and adjusting thresholds accordingly, the system maintains high detection accuracy even when contaminants are present on the sensor surface.
2Measurement precision
If fixed detection thresholds are used, then the device operation is simple, but the detection accuracy deteriorates under different environmental conditions and wear states
Solution Approach 1:
The system transitions from static fixed thresholds to dynamic adjustable thresholds that automatically adapt to different environmental conditions and wear states. The thresholds are continuously refined through calibration measurements and feedback loops, allowing the detection system to maintain high precision without requiring manual intervention or complex user configuration.
Solution Approach 2:
The system performs self-calibration by automatically measuring reference light intensities and adjusting its own detection thresholds without external intervention. This self-service capability allows the device to maintain accurate detection across different conditions while keeping the user experience simple and the operational complexity low.
3Measurement precision
If single wavelength optical sensors are used, then the device structure is simple, but the detection accuracy under varying conditions deteriorates
Solution Approach 1:
The optical sensing system is segmented into multiple independent wavelength channels, each detecting light at different wavelengths simultaneously. This segmentation allows the system to gather comprehensive spectral information that can be processed to identify contaminants and adjust thresholds, achieving high detection accuracy while maintaining relatively simple individual sensor components.
Solution Approach 2:
The multi-wavelength optical sensor system serves multiple functions: it detects object presence, identifies contaminants through spectral analysis, and dynamically adjusts detection thresholds. This multi-functionality allows a single integrated sensor system to achieve high accuracy across varying conditions without requiring separate systems for each function, thereby managing complexity effectively.
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 enhances the accuracy of object detection by dynamically calibrating thresholds, improving user experience by correctly identifying the presence of objects despite surface contaminants, and allowing the device to operate in appropriate modes.
Implementation Method 1
a light receiver configured to receive at least two lights with a first wavelength and a second wavelength
Data Source
AI summary
Methods and apparatuses for detecting an object are described herein. The apparatus includes a light receiver configured to receive at least two lights with a first wavelength and a second wavelength. The apparatus also includes a memory configured to store a plurality of adjusting parameters, and a processor configured to compare a first reference light intensity at the first wavelength and a second reference light intensity at the second wavelength without a presence of the object to obtain a condition index, access a corresponding adjusting parameter from the memory according to the condition index for adjusting a threshold, and compare a reflected light intensity reflected from the object with the adjusted threshold to determine a detection information.


