Qualcomm Incorporated

International Business Machines Corporation

Qualcomm Mems Technologies, Inc.

Tokyo Electron Limited

Snaptrack Incorporated

Evgeni Petrovich Gousev

Eduard Albert Cartier

Vijay Narayanan

Rajarao Jammy

Alok Govil

Cyril Cabral, Jr

Martin Michael Frank

Supratik Guha

Russell Wayne Gruhlke

Vamsi Krishna Paruchuri

Venkat Rangan

Matthew Warren Copel

Ravindra Vaman Shenoy

Paul Charles Jamison

Nestor A Bojarczuk, Jr

Douglas Andrew Buchanan

Edwin Chongwoo Park

Christopher Peter D'Emic

Khurshid Syed Alam

Je-Hsiung Lan

Ion Bita

Alessandro Cesare Callegari

Harald F Okorn-Schmidt

David Leslie Heald

Jonghae Kim

Arne Watson Ballantine

Gang Xu

Volodimir Slobodyanyuk

Jon Lasiter

Patrick Ronald Varekamp

Kollengode S Narayanan

Karim Arabi

Kevin K Chan

Steven M Shank

Douglas Duane Coolbaugh

Manish Kothari

Sufi Zafar

Russel A Martin

Donald William Kidwell, Jr

Kwan-Yu Lai

Evgeni Poliakov

Ghavam G Shahidi

Clement Hsingjen Wann

Mario Francisco Velez

Anthony I Chou

Barry P Linder

Fenton Read McFeely

David L O'Meara

Joseph Francis Shepard, Jr

Anthony Dip

Sunfei Fang

Marek Mienko

Philip Jason Stephanou

Victor Hokkiu Chan

Cory Wajda

Sang-June Park

An L Steegen

Michael Abramovich Gribelyuk

Michelle Leigh Steen

Nestor Alexander Bojarczuk, Jr

Muhammed Ibrahim Sezan

Xiquan Cui

Victor Ku

Chester T Dziobkowski

Alexander Reznicek

Clarence Chui

Katherine Lynn Saenger

Matthew Stuart Grob

Hrishikesh Vijaykumar Panchawagh

Paul Eric Jacobs

Fuad Elias Doany

Matthew Michael Nowak

Suryaprakash Ganti

Kalin Mitkov Atanassov

Arnold Jason Gum

James Spiros Nakos

Ernest Tadashi Ozaki

Ming-Hau Tung

David William Burns

Marc Mignard

Aristotele Hadjichristos

Samir Kumar Gupta

Milind Shah

Periannan Chidambaram

Kasra Khazeni

Philip Don Floyd

Linda Stacey Irish

James Wilson Nash

Rajesh K Pankaj

Alessandro Curioni

Huiling Shang

Chi Shun Lo

Atul Champaklal Ajmera

Mete Erturk

Jonathan Charles Griffiths

Hae-Jong Seo

Jay Sanford Burnham

Hasib Siddiqui

Albrecht Johannes Lindner

Brian W Arbuckle

Aspects of the disclosure are related to a Lidar device, comprising: a vibrating fiber optic cantilever system on a transmit (TX) path; and a two-dimensional (2D) light sensor array on a receive (RX) path.

Implementation of the focal plane 2D APD array for hyperion Lidar system

Various aspects of the present disclosure generally relate to optical character detection. In some aspects, a user device may receive, from a vision sensor, a first image that is associated with a first optical character image. The user device may determine, using an image processing model, that the first image depicts the first optical character image. The user device may cause, based at least in part on determining that the first image depicts the first optical character image, a camera to capture a second image that is associated with a second optical character image. The user device may perform an action associated with the second image. Numerous other aspects are provided.

Optical character detection using a low-power sensor

Reducing the space occupied by a voltage regulation integrated circuit (IC) that includes an inductor is achieved by implementing the inductor as a 3D inductor having windings formed of conductive elements integrated into a lower substrate, a circuit layer, and an upper substrate, and positioning other components within a core space of the 3D inductor in the circuit layer. The space occupied by the inductor is shared with the other circuit components and with the structural layers of the voltage regulation IC. A voltage regulation IC may be a switched-mode power supply (SMPS) that includes an inductor with a capacitor and/or a switching circuit. The inductor is implemented as upper horizontal traces in an upper substrate, lower horizontal traces in a lower substrate, and vertical interconnects in a circuit layer between the upper substrate and the lower substrate, and the conductive elements form the 3D inductor as a rectangular coil.

Voltage regulation integrated circuit (IC) with circuit components in an integrated three-dimensional (3D) inductor core and related methods of fabrication

In one example, an image sensor module comprises one or more covers having at least a first opening and a second opening, a first lens mounted in the first opening and having a first field of view (FOV) centered at a first axis having a first orientation, a second lens mounted in the second opening and having a second FOV centered at a second axis having a second orientation different from the first orientation, a first image sensor housed within the one or more covers and configured to detect light via the first lens, and a second image sensor housed within the one or more covers and configured to detect light via the second lens. The first image sensor and the second image sensor are configured to provide, based on the detected light, image data of a combined FOV larger than each of the first FOV and the second FOV.

Image sensor system

Apparatuses, methods, and systems are presented for sensing scene-based occurrences. Such an apparatus may comprise a vision sensor system comprising a first processing unit and dedicated computer vision (CV) computation hardware configured to receive sensor data from at least one sensor array comprising a plurality of sensor pixels and capable of computing one or more CV features using readings from neighboring sensor pixels. The vision sensor system may be configured to send an event to be received by a second processing unit in response to processing of the one or more computed CV features by the first processing unit. The event may indicate possible presence of one or more irises within a scene.

Low-power iris scan initialization

Sensing of scene-based occurrences is disclosed. In one example, a vision sensor system comprises (1) dedicated computer vision (CV) computation hardware configured to receive sensor data from at least one sensor array and capable of computing CV features using readings from multiple neighboring sensor pixels and (2) a first processing unit communicatively coupled with the dedicated CV computation hardware. The vision sensor system is configured to, in response to processing of the one or more computed CV features indicating a presence of one or more irises in a scene captured by the at least one sensor array, generate data in support of iris-related operations to be performed by a second processing unit and send the generated data to the second processing unit.

Low power data generation for iris-related detection and authentication

Certain techniques are provided for triggering events based on detecting changes in CV features, such as edges, corners etc., by generating computed results based on sensor readings. Yet other techniques also provided for detecting CV features once an event is detecting based on a change in a sensor reading for a sensor element. In certain aspects, the event detection logic and the feature calculation CV vision operations may be performed, individually, or in combination in circuitry on a sensor or in software/firmware on a computing device.

Event based computer vision computation

Methods, systems, computer-readable media, and apparatuses for obtaining blood pressure measurements are presented. The blood pressure measurements may be obtained by determining a pulse-transit time (PTT) as a function of a photoplethysmography (PPG) measurement and electrocardiogram (ECG) measurement. A mobile device includes outer body sized to be portable for a user of the mobile device. The mobile device also includes a plurality of light emitting components distributed along at least one portion of the mobile device and a plurality of light collecting components configured to measure reflected light from the plurality of light emitting components reflected off of blood vessels within the user. The light emitting and light collecting components are distributed along the at least one portion of the mobile device. The mobile device may also include a light guide configured to direct light emitted by the at least one light emitting component toward blood vessels with the user.

System and method for obtaining blood pressure measurement

Use of pupillary response to visible light for iris authentication is disclosed. One example involves (a) capturing an initial image of an eye including an inner circular boundary between a pupil region and an iris region and an outer circular boundary between the iris region and a sclera region, (b) determining a first size measurement indicative of the inner circular boundary, (c) responsive to at least the first size measurement, modulating one or more visible light sources to output visible light toward the eye of the user, (d) capturing a subsequent image of the eye of the user during a period of pupillary response, (e) obtaining an iris data record of the user, and (f) comparing the iris data record of the user to one or more registered iris data records to authenticate the user.

Light source modulation for iris size adjustment

Disclosed herein are techniques for light beam scanning in a light detection and ranging (LIDAR) system. The LIDAR system includes a beam shaping subsystem configured to generate an illumination pattern elongated in a first direction, and a scanning subsystem configured to direct the elongated illumination pattern towards a plurality of positions along a second direction different from the first direction. The LIDAR system further includes a sensor configured to generate a detection signal in response to detecting light reflected by a target object illuminated by the elongated illumination pattern, and a processor configured to determine a characteristic of the target object based on the detection signal.

Hybrid scanning lidar systems

Apparatuses, methods, and systems are presented for reacting to scene-based occurrences. Such an apparatus may comprise dedicated computer vision (CV) computation hardware configured to receive sensor data from a sensor array comprising a plurality of sensor pixels and capable of computing one or more CV features using readings from neighboring sensor pixels of the sensor array. The apparatus may further comprise a first processing unit configured to control operation of the dedicated CV computation hardware. The first processing unit may be further configured to execute one or more application programs and, in conjunction with execution of the one or more application programs, communicate with at least one input/output (I/O) device controller, to effectuate an I/O operation in reaction to an event generated based on operations performed on the one or more computed CV features.

Single-processor computer vision hardware control and application execution

A piezoelectric micromechanical ultrasonic transducer (PMUT) includes a multilayer stack disposed on a substrate. The multilayer stack may include an anchor structure disposed over the substrate, a piezoelectric layer stack disposed over the anchor structure, and a mechanical layer disposed proximate to the piezoelectric layer stack. The piezoelectric layer stack may be disposed over a cavity. The mechanical layer may seal the cavity and, together with the piezoelectric layer stack, is supported by the anchor structure and forms a membrane over the cavity, the membrane being configured to undergo one or both of flexural motion and vibration when the PMUT receives or transmits ultrasonic signals.

Piezoelectric ultrasonic transducer and process

Implementation of the focal plane 2D APD array for hyperion lidar system

Methods, systems, computer-readable media, and apparatuses for cover-glass optical isolation for optical touch and fingerprint sensing are presented. One disclosed display assembly includes a cover glass layer; a low refractive index (LRI) layer coupled to a surface of the cover glass layer; a display layer coupled to the LRI layer; a prism structure; and a camera comprising an image sensor optically coupled to the prism structure to capture an image of a fingerprint based on light reflected from a fingertip and propagated within the cover glass layer and directed towards the camera using the prism structure, wherein the cover glass layer defines an overhang region that extends beyond the LRI layer and the display layer, and wherein the prism structure is coupled to the surface of the cover glass layer on the overhang region.

Cover-glass optical isolation for optical touch and fingerprint sensing

Growing community of inventors

Mahopac, NY, United States of America

Evgeni Petrovich Gousev