Print Image Acquisition TRIZ Cases

A multilayer optical filter narrows the fingerprint sensing region without reducing the aperture ratio, enhancing recognition accuracy.

Localizing light emission to the finger pressing area minimizes screen power usage and light leakage while maintaining identification quality.

A display component integrates photosensitive elements above a packaging film for optical fingerprint detection.

An image processing circuit removes fixed pattern noise from raw sensing signals to generate clean fingerprint data.

Shared signal lines reduce wiring complexity in fingerprint identification elements while maintaining aperture ratio.

A touch detection electrode overlaps outer display region wiring to enable capacitance-based sensing without separate sensor layers.

Capacitive coupling between a fingerprint sensor metal contact and a second device port establishes a direct electrical signaling link for data exchange.

A fingerprint sensor superimposes reference frames using weight functions to resolve brightness contradictions and improve identification accuracy.

An optical fingerprint sensing device uses an image superimposing circuit to combine multiple original images into a single high-quality reference.

An oblique through hole in the supporting frame redirects light from closely spaced sources, preventing image over-exposure while reducing module volume.

An optical sensing pixel uses a sensing layer with a larger planar area than its emission layer to detect user input signals.

A piezoelectric array captures fingerprint and subcutaneous ultrasound data simultaneously.

A display panel integrates a light path structure between the photoelectric sensing layer and light emitting elements to collimate reflected fingerprint signals.

Sensor module integrates touch and fingerprint electrodes within shared openings to enable unified capacitive detection.

Segmenting pixel groups with local quality weights resolves the trade-off between thick passivation protection and measurement precision.

A capacitive fingerprint sensor adjusts analog-to-digital converter gain and shift to maintain image contrast across varying finger moisture levels.

Acoustic cavity resonance amplifies ultrasonic wave amplitude within thin sensor stacks.

A fingerprint identification apparatus uses a stress buffer layer to protect sensitive electrodes from impact forces.

A fingerprint sensor electrode matrix uses 1-to-N switch circuits to dynamically select sensing regions and control signal paths.

A touch sensor divides transmitting and receiving lines into groups to optimize signal processing for distinct operating modes.

A mesh lower pattern shields active patterns from polarized organic materials, preventing electrical characteristic changes and reducing crosstalk.

A diffraction grating substrate disperses light from paired sources to create uniform illumination across the target area.

A sensor circuit uses a biasing-and-sampling sub-circuit to set different bias voltages for transmission and reception periods.

A fingerprint sensing driver adjusts signal slew rates and dynamically compensates offsets to maintain image quality.

A capacitive finger detecting structure uses threshold values to differentiate coupling strength and activate sensing elements only upon confirmed placement.

A capacitive image sensor array uses dual sensing plates to transform finger distance into electric potential.

A display device structure uses refractive index matching between adhesive and barrier layers to enhance optical sensor light reception.

A processor acquires biometric data from multiple finger placements to generate composite matching data for rapid authentication.

A capacitive touch control circuit detects a touch region and a controller selects a characteristic region based on signal amount distribution.

Dynamic electrode segmentation divides capacitive sensors into sensing and deflection groups to enhance signal quality.