Touchscreen Imperfection Detection via Acoustic Signal Analysis
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Solution Overview
Problem
Existing methods for detecting imperfections in touchscreens are inaccurate and prone to errors due to the need for dedicated hardware and strict standardization, making remote detection of broken screens vulnerable to fraud and mistakes.
Innovation Solution
A method and system that involves swiping a test object along a touchscreen to produce electric and acoustic signals, which are analyzed by a processor to determine the presence of imperfections on the touchscreen's surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated hardware (e.g., proprietary camera) and strict standardization are used for touchscreen imperfection detection, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent replaces dedicated optical hardware (cameras, lighting systems) with acoustic sensing. A microphone captures acoustic signals generated during finger swiping, and signal processing algorithms analyze these signals to detect screen imperfections. This substitution eliminates complex optical hardware while maintaining detection capability through acoustic wave analysis.
Solution Approach 2:
The patent uses the touchscreen device's own built-in microphone to capture acoustic signals during normal operation. The device self-diagnoses screen imperfections using its existing acoustic sensing capability, eliminating the need for external dedicated detection hardware. The system leverages the device's inherent resources for self-testing.
2Measurement precision
If dedicated hardware and strict standardization are used for touchscreen imperfection detection, then measurement precision is improved, but ease of operation worsens
Solution Approach 1:
The patent replaces complex optical alignment and positioning requirements with simple acoustic signal capture. Users simply swipe their finger across the screen during normal interaction, and the built-in microphone automatically captures the acoustic signals. This eliminates the need for specialized cameras, controlled lighting, and precise positioning, making the detection process as simple as normal touchscreen usage.
3Ease of operation
If manual user assessment is used for touchscreen condition indication, then ease of operation is improved, but reliability deteriorates
Solution Approach 1:
The patent implements an automated feedback system where acoustic signals captured during finger swiping are processed by algorithms that provide objective feedback about screen condition. The system analyzes acoustic wave patterns, frequency spectra, and signal characteristics to automatically determine the presence of imperfections, replacing subjective manual assessment with reliable automated analysis.
Solution Approach 2:
The patent substitutes manual visual inspection with automated acoustic signal analysis. The system captures acoustic waves generated during interaction and uses signal processing to objectively detect screen imperfections, eliminating human error and fraud while maintaining operational simplicity for the user.
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 accurate and reliable detection of imperfections in touchscreens without the need for dedicated hardware or strict standardization, reducing the risk of fraud and errors in assessing the condition of electronic devices.
Implementation Method 1
producing, by the touchscreen, an electric signal indicative of the test object's contact with the touchscreen
Implementation Method 2
receiving an acoustic signal by an acoustic sensor, during the swipe of the test object along the touchscreen
Data Source
AI summary
A method and system for detecting imperfections on a surface of a touchscreen of an electrical device, comprising: swiping a test object, such as a fingertip, a fingernail or a pin, along at least a portion of the touchscreen; producing, by the touchscreen, an electric signal indicative of the test object's contact with the touchscreen; receiving an acoustic signal by an acoustic sensor, during the swipe of the test object along the touchscreen; analyzing, by a processor, at least one of the electric signal and received acoustic signal; and determining existence of imperfections on the touchscreen's surface based on the analysis.