Mobile Proximity Sensing With Dynamic Offset Calibration
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Solution Overview
Problem
Proximity sensing in mobile devices is affected by environmental changes such as glass or translucent materials, leading to inaccurate object detection due to light reflection, and existing solutions fail to adapt to these changes effectively.
Innovation Solution
A method that dynamically adjusts the offset value by comparing sensed values with predetermined ranges, allowing for real-time updates based on environmental conditions, including light intensity, to improve accuracy and reliability of proximity sensing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If glass or translucent material is used to cover the proximity sensing unit, then the sensing unit is protected, but light reflection from the glass causes inaccurate object detection
Solution Approach 1:
The system continuously monitors the sensed light values and dynamically adjusts the offset value based on the difference between current and reference values. This feedback mechanism compensates for the light reflection interference from the glass cover, maintaining accurate object detection while preserving the protective glass covering.
2Device complexity
If a fixed offset value is used for object determination, then the determination process is simple, but the system cannot adapt to environmental changes such as light intensity variations
Solution Approach 1:
The offset value transitions from a fixed parameter to a dynamic one that automatically adjusts according to environmental conditions. The system calculates the offset value based on the difference between current sensed values and reference values obtained during manufacturing, enabling the system to adapt to changes in light intensity, dirt accumulation, and other environmental factors while maintaining a relatively simple determination process.
3Adaptability or versatility
If the offset value is updated dynamically, then the system adapts to environmental changes, but the determination process becomes more complex
Solution Approach 1:
The system performs self-calibration by automatically calculating and updating the offset value based on the difference between current sensed values and reference values. This self-service mechanism reduces the need for manual intervention and complex external calibration processes, achieving dynamic adaptation with minimal additional complexity.
4Ease of operation
If conventional proximity sensing is used without environmental adaptation, then the system is simple to operate, but false positives occur due to light reflection from glass or translucent materials
Solution Approach 1:
The offset value acts as an intermediary parameter that mediates between the raw sensed light values and the final object detection determination. By introducing this intermediate compensation value, the system maintains the simplicity of operation while significantly improving reliability by eliminating false positives caused by light reflection from protective glass or translucent materials.
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 proximity sensing by adapting to environmental changes, reducing false positives and ensuring reliable object detection in mobile devices, even as environmental conditions such as light exposure vary.
Implementation Method 1
The LED could be an infrared LED emitting infrared signals and the light sensor could be an infrared light sensor correspondingly
Implementation Method 2
If an object is close enough, a part of the infrared light from the infrared LED reflects on the object and turns to enter the infrared light sensor
Implementation Method 3
the light sensor may generate signals corresponding to the sensed infrared light
Data Source
AI summary
The present invention relates to a proximity sensing method for proximity sensing unit in a mobile device. The proximity sensing method comprises steps of comparing a sensed value of the proximity sensing unit with a predetermined offset value or a first predetermined range to determine if the sensed value is smaller than the predetermined offset value or if the sensed value is within the first predetermined range; and providing an offset value for confirming if an object is near the mobile device according to the determination that if the sensed value is smaller than the predetermined offset value or within the first predetermined range.