Print Image Acquisition TRIZ Cases

Misaligned signal lines at different levels suppress crosstalk between driving and data reception lines in transparent fingerprint sensors.

A display device uses overlapping piezoelectric layers to detect objects via ultrasonic waves within the panel structure.

Segmenting the sensor into N sub-pixel groups receiving diverse light characteristics resolves the trade-off between image adaptability and device complexity.

A sensor pixel circuit uses transistors and a storage capacitor to manage bias voltages for accurate object recognition.

A light path adjustment element redirects inclined image beams to an optical filter layer and image sensor.

A support plate mounts fingerprint sensor chips under a display screen, preventing OLED damage during maintenance and reducing structural complexity.

A fingerprint authentication device captures reflected and transmitted light images to classify skin features and detect foreign substances on fingers.

Integrating a planar PIN photodiode into the display substrate reduces light propagation loss and improves fingerprint identification precision.

Through holes in the display window contain filling members that block noise light wavelengths, resolving fingerprint recognition interference.

A fingerprint sensing system uses a reference structure to assess signal quality and optimize acquisition timing for accurate pattern detection.

Acoustic transducers surround the measuring area to enable large-area fingerprint recognition and touch sensing on a single display panel.

Processor adjusts fingerprint sensor configuration data using capacitance measurements to maintain detection accuracy despite protective film thickness.

A foldable display substrate integrates an ultrathin glass cover plate and a segmented black matrix to support flexible form factors.

A fingerprint sensing system uses a current source arrangement to compensate for common-mode signal currents in pixel elements.

An ultrasonic sensor system transmits compressional and shear waves to extract sub-epidermal features from target objects.

Segmenting the display into active and inactive regions prevents unintended function execution during fingerprint recognition.

Segmented signal lines form a characteristic value matrix, resolving the trade-off between high-resolution fingerprint capture and large IC chip size.