Proximity Sensor Calibration for Reflective Surfaces
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Solution Overview
Problem
Proximity sensors in mobile devices face challenges in accurately measuring distance to reflecting surfaces due to variations in reflectivity caused by different skin colors and shades, leading to inaccurate distance calculations and inefficient battery usage.
Innovation Solution
The implementation of a method to detect peak intensity of reflected signals and generate a new reference curve based on this intensity, allowing the mobile device to approximate the range to the surface, thereby accounting for varying reflectivities and improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a proximity sensor uses a fixed reference curve to measure distance, then the device structure remains simple, but measurement precision deteriorates due to variations in surface reflectivity
Solution Approach 1:
The patent applies preliminary action by pre-calibrating the proximity sensor with multiple reference curves corresponding to different surface reflectivity characteristics before actual use. During operation, the system selects and applies the appropriate reference curve based on detected peak intensity values, eliminating the need for real-time complex calibration while maintaining high measurement precision across varying surface conditions
Solution Approach 2:
The patent implements parameter changes by introducing multiple reference curves with different parameters (peak intensity values and corresponding distance relationships) to accommodate varying surface reflectivity. The system dynamically selects and applies the appropriate reference curve parameters based on the detected signal characteristics, enabling accurate distance measurement without increasing hardware complexity
2Measurement precision
If the proximity sensor continuously monitors distance with high precision, then measurement accuracy improves, but energy consumption increases
Solution Approach 1:
The patent applies periodic action by implementing intermittent distance monitoring rather than continuous high-precision measurement. The proximity sensor periodically checks distance using the pre-calibrated reference curves, allowing the device to maintain accurate distance awareness while consuming significantly less battery power compared to continuous monitoring
Solution Approach 2:
By performing calibration work in advance and storing multiple reference curves, the system eliminates the need for continuous complex calculations during operation. The pre-computed reference curves enable quick, energy-efficient distance determination when needed, reducing overall power consumption while maintaining measurement precision
3Adaptability or versatility
If the proximity sensor accounts for varying reflectivity by using multiple reference curves, then adaptability improves, but device complexity increases
Solution Approach 1:
The patent implements parameter changes by organizing multiple reference curves with distinct parameters for different surface reflectivity levels. Each reference curve contains pre-calibrated parameters (peak intensity and distance relationships) that the system selects based on detected signal characteristics, enabling high adaptability to various surfaces without requiring complex real-time adjustment mechanisms
Solution Approach 2:
The system performs the complex work of creating and organizing multiple reference curves in advance during manufacturing or initialization. During actual use, the device simply selects from these pre-prepared reference curves based on peak intensity detection, achieving high adaptability while keeping operational complexity low
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 enhances the accuracy of distance measurements between the mobile device and the user's face or head, enabling efficient power management by deactivating components like backlighting when not needed, thus conserving battery power.
Implementation Method 1
detecting a peak intensity of a signal reflected against a surface
Data Source
AI summary
The subject matter disclosed herein relates to proximity sensors to measure distance from a surface, and more particularly, calibrating proximity sensors to adjust for various reflecting surfaces.