Acoustic Touchscreen Calibration via Audio Profile Matching
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Solution Overview
Problem
The existing calibration process for Acoustic Pulse Recognition (APR) touchscreens is time-consuming and costly due to the need for extensive individual calibration of each touchscreen, requiring numerous touch points and calibration machines, which limits throughput.
Innovation Solution
A method and system for calibrating APR touchscreens by acquiring and comparing audio profiles at a limited number of comparison touch points, selecting a predetermined calibration file based on these profiles, and grouping calibration files by similarity to reduce the need for unique calibration files for each touchscreen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual calibration is performed for each APR touchscreen at numerous coordinate locations, then measurement precision is improved, but calibration time increases significantly
Solution Approach 1:
The patent applies partial action by selecting a subset of representative coordinate locations (e.g., 10-100 points) rather than calibrating at all possible locations. This partial calibration approach maintains sufficient measurement precision for touch location accuracy while dramatically reducing the number of calibration points from thousands to a manageable subset, thereby decreasing calibration time significantly.
Solution Approach 2:
The patent changes the calibration parameter from complete coordinate coverage to representative sample coverage. By modifying the calibration approach to use a selective set of coordinate locations that capture the essential acoustic characteristics of the touchscreen, the system achieves adequate precision without the time cost of exhaustive calibration.
2Manufacturing precision
If extensive individual calibration is performed for each touchscreen, then manufacturing precision is improved, but productivity decreases due to limited throughput
Solution Approach 1:
The patent implements partial calibration by performing calibration at a limited number of representative coordinate locations rather than exhaustive calibration. This approach maintains manufacturing precision by capturing the essential acoustic profile of each touchscreen while enabling higher productivity through reduced calibration time and increased throughput.
Solution Approach 2:
The patent segments the calibration process into discrete representative sampling points rather than continuous comprehensive calibration. By dividing the calibration task into a manageable set of key coordinate locations that represent the touchscreen's acoustic characteristics, the system achieves both precision and improved productivity.
3Productivity
If a large number of calibration machines are acquired to increase throughput, then productivity is improved, but device complexity and cost increase
Solution Approach 1:
The patent reduces the need for multiple calibration machines by implementing partial calibration that can be performed with a single machine. By calibrating at a limited number of representative points rather than requiring extensive machine resources, the system achieves adequate throughput without proportionally increasing device complexity or cost.
Solution Approach 2:
The patent enables the calibration process to be more self-contained and less resource-intensive. The calibration method allows a single calibration machine to handle multiple touchscreens efficiently by using a streamlined calibration approach, reducing the need for extensive machine acquisitions and lowering overall system complexity.
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 significantly reduces the time and expense required for calibration, allowing for faster characterization of multiple touchscreens and increasing throughput by using pre-recorded audio profiles and grouping calibration files, thereby streamlining the calibration process.
Implementation Method 1
one or more microphones on the glass or other substrate of the touchscreen detect the sound, represented as a signal, which results from a user touching a point on the glass
Data Source
AI summary
A method for calibrating an Acoustic Pulse Recognition (APR) touchscreen comprises touching an APR touchscreen at N comparison touch points. N audio profiles are acquired, and each of the N audio profiles are associated with one of the N comparison touch points. A predetermined calibration file is selected based on the N audio profiles. The predetermined calibration file comprises audio profiles associated with coordinate locations on the touchscreen.