Touch Panel Firmware Matching via Mutual Capacitance Testing

The patent performs preliminary classification of touch panels into applicable and inapplicable categories before final assembly using a test conductive object and variance ratio calculation. This preliminary action identifies panels that would require parameter adjustment, allowing those panels to be sorted out early and avoiding the complexity of parameter adjustment for panels that are fundamentally incompatible with the firmware

The patent uses a test conductive object as a standardized copy of a human finger to perform consistent measurements across all touch panels. This copying approach provides a uniform reference for comparison, enabling objective classification without requiring actual human interaction during testing, thus reducing subjectivity and complexity in the evaluation process

The patent applies local quality assessment by testing specific RC circuits at different locations on the touch panel rather than evaluating the entire panel globally. By focusing measurements on specific test points with test conductive objects, the method identifies locally acceptable panels that may have minor variations but still function adequately, thereby reducing unnecessary rejection and improving productivity while maintaining quality

The patent changes the assessment parameter from binary pass/fail to a continuous variance ratio metric. By calculating the ratio between measured capacitance values and reference values, the system creates a graded assessment that distinguishes between acceptable variations and genuine defects. This parameter transformation allows panels with minor manufacturing tolerances to be classified as applicable, increasing productivity without compromising quality

The patent extracts only the essential measurement information needed for classification by using a simplified test conductive object approach. Instead of performing comprehensive multi-point measurements with human interaction, the system extracts critical capacitance data from specific test points using automated conductive objects. This extraction of essential information maintains measurement precision for classification purposes while dramatically reducing testing time

The patent skips time-consuming steps in the traditional testing process by using pre-calibrated test conductive objects with known characteristics. The system rushes through the measurement phase by directly comparing measured values against reference thresholds without requiring iterative human adjustment or complex multi-stage testing. This skipping of unnecessary steps maintains sufficient measurement precision for classification while minimizing time loss