公开(公告)号：US11221207B2

公开(公告)日：2022-01-11

申请号：US16601648

申请日：2019-10-15

Applicant: PixArt Imaging Inc.

Inventor： Guo-Zhen Wang

IPC: G06K9/46 ,  G01B11/14 ,  H04N5/235

Abstract: There is provided an optical distance measurement system including an image sensor and a processing unit. The processing unit is configured to generate an image to be calculated according to at least one image captured by the image sensor, wherein different image regions of the image to be calculated correspond to different exposure times thereby improving the accuracy of the distance calculation.

公开(公告)号：US20210396514A1

公开(公告)日：2021-12-23

申请号：US16907329

申请日：2020-06-22

Applicant: PixArt Imaging Inc.

Inventor： Guo-Zhen Wang

IPC: G01C3/02 ,  G01C21/20 ,  G01N21/94 ,  A47L9/00 ,  A47L9/28 ,  A47L11/40

Abstract: An optical navigation device comprising: a processing circuit; a first light source, configured to emit first light; a cover; at least one second light source, configured to emit second light toward the cover; and an first optical sensor, configured to sense first optical data generated according to the first light and to sense second optical data generated according to the second light on the cover. The processing circuit determines a dirtiness level of the cover based on the second optical data sensed by the first optical sensor. The optical navigation device can further comprise a second optical sensor. Also, an optical navigation device which can avoid the interference of another optical navigation device is also disclosed.

公开(公告)号：US20210201027A1

公开(公告)日：2021-07-01

申请号：US17203772

申请日：2021-03-17

Applicant: PixArt Imaging Inc.

Inventor： Guo-Zhen Wang

IPC: G06K9/00

Abstract: An object determining system, comprising: an optical sensor, comprising a kind determining region and an element analyzing region, wherein the optical sensor acquires first optical data via the kind determining region, and acquires second optical data via the element analyzing region, wherein the kind determining region and the element analyzing region are different regions of the optical sensor; a kind determining circuit, configured to determine an object kind of the object according to the first optical data; and an element analyzing circuit, configured to analyze element of the object according to the second optical data.

公开(公告)号：US10990821B2

公开(公告)日：2021-04-27

申请号：US16892245

申请日：2020-06-03

Applicant: PixArt Imaging Inc.

Inventor： Guo-Zhen Wang

IPC: G06K9/00

Abstract: Disclosed is an object determining system comprising an optical sensor, a kind determining circuit and an element analyzing circuit. The optical sensor comprises a kind determining region and an element analyzing region, wherein the optical sensor captures at least one object image of an object via the kind determining region, and acquires element analyzing optical data via the element analyzing region. The kind determining circuit is configured to determine an object kind of the object according to the object image. The element analyzing circuit is configured to analyze element of the object according to the element analyzing optical data and the object kind. An object determining system applying tow stage object sensing steps to determine an object kind is also disclosed.

公开(公告)号：US10860852B2

公开(公告)日：2020-12-08

申请号：US15985632

申请日：2018-05-21

Applicant: PixArt Imaging Inc.

Inventor： Guo-Zhen Wang

IPC: G06K9/00 ,  H04N5/232 ,  G06F3/01 ,  G02B27/01 ,  G06F3/00 ,  G02B27/00

Abstract: An eye state detecting method, which comprises: (a) capturing a detecting image; (b) computing a brightness variation tendency for a peripheral part of a darkest part of the detecting image; and (c) determining whether a user's eye is in an opening state or in a closing state according to the brightness variation tendency.

公开(公告)号：US20200375426A1

公开(公告)日：2020-12-03

申请号：US16423165

申请日：2019-05-28

Applicant: PixArt Imaging Inc.

Inventor： Guo-Zhen Wang

IPC: A47L9/28 ,  A47L9/30

Abstract: A dirtiness level determining method applied to an electronic device comprising an image sensor. The method comprises: (a) capturing a first image at a first time point according to first type of light; (b) capturing a second image at a second time point after the first time point according to the first type of light; (c) calculating a first fixed pattern according to a first difference between the first image and the second image; and (d) calculating a first dirtiness level of the image sensor according to the first fixed pattern; (e) generating a first notifying message if the first dirtiness level is higher than a dirtiness threshold.

公开(公告)号：US10812706B2

公开(公告)日：2020-10-20

申请号：US16717174

申请日：2019-12-17

Applicant: PixArt Imaging Inc.

Inventor： Han-Chang Lin ,  Guo-Zhen Wang ,  Nien-Tse Chen

IPC: H04N5/232 ,  G06K9/00 ,  G06F3/01 ,  G02B27/00

Abstract: An electronic system including a display device, an image sensor, a face detection engine, an eye detection engine and an eye protection engine is provided. The image sensor captures an image. The face detection engine recognizes a user face in the image. The eye detection engine recognizes user eyes in the image. The eye protection engine turns off the display device when the user eyes are recognized in the image but the user face is not recognized in the image.

公开(公告)号：US20200302213A1

公开(公告)日：2020-09-24

申请号：US16898586

申请日：2020-06-11

Applicant: PIXART IMAGING INC.

Inventor： Guo-Zhen Wang

IPC: G06K9/46 ,  G06N20/00 ,  G06K9/00 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08

Abstract: The present disclosure discloses an image recognition method and system based on deep learning. The image recognition method trains a recognizing engine for high resolution images and a recognizing engine for low resolution image separately. The two recognizing engines generate two independent feature groups specifically for high resolution and low resolution images respectively. A categorizing engine categorizes a testing image to a high resolution mode or a low resolution mode, and then the testing image is recognized by the appropriate recognizing engine. Therefore, the present disclosure increases the accuracy of image recognition under various conditions.

公开(公告)号：US10785419B2

公开(公告)日：2020-09-22

申请号：US16257277

申请日：2019-01-25

Applicant: PixArt Imaging Inc.

Inventor： Guo-Zhen Wang

IPC: H04N5/235 ,  H04N5/232 ,  H04N5/355 ,  H04N5/357 ,  G06T5/00 ,  G06N20/00 ,  H04N5/374

Abstract: There is provided an image processing device including a light sensor and a processor. The light sensor is used to detect light and output an image frame. The processor identifies intensity of ambient light according to an image parameter associated with the image frame. When the ambient light is identified to be strong enough, the processor performs an object identification directly using the image frame. When the ambient light is identified to be not enough, the processor firstly converts the image frame to a converted image using a machine learning model, and then performs the object identification using the converted image.

公开(公告)号：US20200293777A1

公开(公告)日：2020-09-17

申请号：US16892245

申请日：2020-06-03

Applicant: PixArt Imaging Inc.

Inventor： Guo-Zhen Wang

IPC: G06K9/00

Abstract: Disclosed is an object determining system comprising an optical sensor, a kind determining circuit and an element analyzing circuit. The optical sensor comprises a kind determining region and an element analyzing region, wherein the optical sensor captures at least one object image of an object via the kind determining region, and acquires element analyzing optical data via the element analyzing region. The kind determining circuit is configured to determine an object kind of the object according to the object image. The element analyzing circuit is configured to analyze element of the object according to the element analyzing optical data and the object kind. An object determining system applying tow stage object sensing steps to determine an object kind is also disclosed.