Qualcomm Incorporated

Changting Xu

Hrishikesh Vijaykumar Panchawagh

Kostadin Dimitrov Djordjev

Jessica Liu Strohmann

Soon Joon Yoon

Yipeng Lu

Kwokleung Chan

Yue Liang

Jin Gu

Lior Maor

Javier Frydman

Gal Rotem

Camilo Perez Saaibi

Bernard Herrera

Wei-En Hsu

Chuenwen Chung

Some methods may involve receiving fingerprint image data. Some methods may involve determining whether the fingerprint image data was captured by a first fingerprint sensor of a device or a second fingerprint sensor of the device. Some methods may involve obtaining an enhanced version of the fingerprint image data based on a determination that the fingerprint image data was captured by the second fingerprint sensor of the device. Some methods may involve providing the enhanced version of the fingerprint image data for authentication. In some examples, obtaining the enhanced version of the fingerprint image data may involve an image enhancement machine learning model. In some examples, prior to obtaining the enhanced version of the fingerprint image data, a determination is made that the fingerprint image data captured by the second fingerprint sensor fails to satisfy a quality threshold.

Image enhancement for fingerprint sensor deployed in a flexible device

Some disclosed devices may include a display stack, a cover layer proximate a first side of the display stack and a segmented transducer array proximate a second side of the display stack. The segmented transducer array may include a plurality of separate transducer segments. Each of the separate transducer segments may include a piezoelectric layer and a thin-film transistor (TFT) layer. The separate transducer segments may include transmitter transducer segments and receiver transducer segments. In some examples, a spacing between at least a first plurality of the transmitter transducer segments may correspond to a display stack and cover layer oscillation mode frequency in a range from 20 Hz to 20 kHz, from 15 kHz to 200 kHz or from 20 kHz to 400 kHz.

Segmented transducers for acoustic applications

Some disclosed methods involve acquiring, via an ultrasonic sensor system, first (reference) ultrasonic signals at a first time and acquiring second ultrasonic signals via the ultrasonic sensor system at a second time. Such methods may involve determining, based at least in part on a comparison of the first ultrasonic signals and the second ultrasonic signals, whether one or more layers reside on the cover glass at the second time. If it is determined that the one or more layers reside on the cover glass at the second time, some methods may involve determining one or more signal characteristics corresponding to properties of the one or more layers and determining, based at least in part on the one or more properties, whether the one or more layers are compatible with the ultrasonic sensor system. If so, the method may involve calibrating the ultrasonic sensor system.

Ultrasonic protective film detection and ultrasonic sensor calibration

An example method of operation may include detecting a user touch in a first area based upon sensor data from one or more sensors of a first type, waking up one or more sensors of a second type configured to measure across some or all of the first area in response to the detecting, obtaining additional sensor data from the one or more sensors of the second type, and determining a location associated with the user touch based in part upon the sensor data from the one or more sensors of the second type.

Temperature and ultrasonic sensor fusion for biometric sensing

A method may involve controlling an apparatus to transmit a first ultrasonic wave by sending first electrical signals to a plurality of separate electrode elements proximate an ultrasonic transceiver layer. The method may involve receiving first electrode layer signals, corresponding to reflections of the first ultrasonic wave, from the electrode layer. The method may involve determining, based on the first electrode layer signals, a location of a target object in contact with the apparatus. The location of the target object may correspond with a proximate electrode element. The method may involve controlling the ultrasonic transceiver layer to transmit a second ultrasonic wave by sending second electrical signals to the proximate electrode element and for receiving receiver pixel signals from at least a portion of the plurality of ultrasonic receiver pixels in an area corresponding with the proximate electrode element.

Liveness sensing and authentication with an ultrasonic sensor system

A method of controlling an apparatus that includes an ultrasonic sensor system may involve controlling the ultrasonic sensor system to transmit a first ultrasonic compressional wave and receiving first signals from the ultrasonic sensor system. The first signals may include signals corresponding to reflections of the first ultrasonic compressional wave from a target object proximate a surface of the apparatus. The method may involve performing an authentication process based, at least in part, on the first signals. The method may involve controlling the apparatus to transmit a shear wave and receiving second signals from the ultrasonic sensor system. The second signals may include signals corresponding to reflections of the shear wave from the target object. The method may involve performing a spoof detection process based, at least in part, on the second signals.

Anti-spoofing devices and methods involving acoustic shear waves

A stylus-tracking device may include a piezoelectric receiver or transceiver array on a first side (e.g., underneath) a display. Image data may be acquired from the piezoelectric receiver array. The image data may correspond to signals produced by the piezoelectric receiver array in response to an acoustic signal and/or a mechanical deformation caused by a target object (e.g., a stylus) in contact with a surface, such as a cover glass, proximate a second side of the display. A doublet pattern in the image data may include a first area of having signals below a threshold level and a second area having signals above the threshold level. Based on one or more doublet pattern characteristics, a position of the target object on the surface, a force of the target object on the surface and/or a first direction of movement of the target object relative to the surface may be estimated.

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Santa Clara, CA, United States of America

Changting Xu