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公开(公告)号:US20250106495A1
公开(公告)日:2025-03-27
申请号:US18971604
申请日:2024-12-06
Applicant: PixArt Imaging Inc.
Inventor: HAN-CHANG LIN , GUO-ZHEN WANG , NIEN-TSE CHEN
Abstract: An electronic system including 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 a display device when the user eyes are recognized in the image but the user face is not recognized in the image.
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公开(公告)号:US20240257632A1
公开(公告)日:2024-08-01
申请号:US18632330
申请日:2024-04-11
Applicant: PixArt Imaging Inc.
Inventor: CHING-KUN CHEN , GUO-ZHEN WANG
IPC: G08B29/20 , G08B17/103 , G08B25/00 , G08B29/18
CPC classification number: G08B29/20 , G08B17/103 , G08B29/185 , G08B25/008
Abstract: There is provided a fire alarm device including multiple light sources, a light sensor, a first processor and a second processor. In a standby mode, the first processor identifies whether to wake up the second processor according to a detection result of the light sensor obtained by detecting emission light of one of the multiple light sources. The second processor identifies whether to generate an alarm according to a detection result of the light sensor obtained by detecting emission light of the multiple light sources. The fire alarm device further includes a thermal sensor for providing detected temperature values to the first processor and/or the second processor to perform the identifying procedure.
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公开(公告)号:US20240078887A1
公开(公告)日:2024-03-07
申请号:US18509350
申请日:2023-11-15
Applicant: PIXART IMAGING INC.
Inventor: CHENG-NAN TSAI , GUO-ZHEN WANG , CHING-KUN CHEN , YEN-CHANG CHU , CHIH-MING SUN
IPC: G08B17/107
CPC classification number: G08B17/107
Abstract: There is provided a smoke detector including a first light source, a second light source surface, a light sensor and a processor. The light sensor receives reflected light when the first light source and the second light source emit light, and generates a first detection signal corresponding to light emission of the first light source and a second detection signal corresponding to light emission of the second light source. The processor distinguishes smoke and floating particles according to a similarity between the first detection signal and the second detection signal.
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公开(公告)号:US20240062394A1
公开(公告)日:2024-02-22
申请号:US18386051
申请日:2023-11-01
Applicant: PIXART IMAGING INC.
Inventor: GUO-ZHEN WANG , HAN-CHANG LIN
IPC: G06T7/254 , G06T7/20 , G01J5/00 , G06T7/60 , G06T7/10 , G06T7/30 , G06F3/03 , G06V10/44 , G06V10/147 , G06V40/10 , H04N23/11
CPC classification number: G06T7/254 , G06T7/20 , G01J5/0025 , G06T7/60 , G06T7/10 , G06T7/30 , G06F3/0304 , G06V10/44 , G06V10/147 , G06V40/10 , H04N23/11 , G06T2207/10016 , G06T2207/30196 , G06T2207/10048
Abstract: An image recognition system, a sensor module and a method for image recognition are provided. The system includes a processing module, a sensor module, and a database. The sensor module includes first sensors and second sensors, the first sensors are image sensors for object recognition and the second sensors are thermal sensors for human detection. When the image sensors and the thermal sensors are arranged in columns, each column of the image sensors is adjacent to at least one column of the thermal sensors, or when the image sensors and the thermal sensors are arranged in rows, each row of the image sensors is adjacent to at least one row of the thermal sensors, or when the image sensors and the thermal sensors are arranged in a checkerboard manner in the matrix, each of the image sensors is adjacent to the thermal sensors.
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公开(公告)号:US20230347502A1
公开(公告)日:2023-11-02
申请号:US18219921
申请日:2023-07-10
Applicant: PixArt Imaging Inc.
Inventor: GUO-ZHEN WANG , TSE-EN PENG
CPC classification number: B25J9/0003 , B25J9/1676 , G06T7/70 , B25J11/0085
Abstract: There is provided a mobile robot that performs the de-flickering and different auto exposures in a pixel array in the range estimation to be adaptable to different operating scenarios, and constructs a three-dimensional depth map to lower the cost.
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公开(公告)号:US20220253068A1
公开(公告)日:2022-08-11
申请号:US17732576
申请日:2022-04-29
Applicant: PixArt Imaging Inc.
Inventor: SHIH-CHIN LIN , WEI-CHUNG WANG , GUO-ZHEN WANG
Abstract: There is provided a moving robot including a first light source module and a second light source module respectively project a first light section and a second light section, which are vertical light sections, in front of a moving direction, wherein the first light section and the second light section cross with each other at a predetermined distance in front of the moving robot so as to eliminate a detection dead zone between the first light source module and the second light source module in front of the moving robot to avoid collision with an object during operation.
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公开(公告)号:US20220179430A1
公开(公告)日:2022-06-09
申请号:US17679382
申请日:2022-02-24
Applicant: PixArt Imaging Inc.
Inventor: GUO-ZHEN WANG
Abstract: There is provided a moving robot including a light projector, an image sensor and a processing unit. The light projector projects a vertical light segment toward a moving direction. The image sensor captures, toward the moving direction, an image frame containing a light segment image associated with the vertical light segment. The processing unit calculates a step distance and a segment feature according to the image frame, outputs a flag signal according to the segment feature to indicate whether the calculated step distance is confident or not, and perform a pixel interpolation in calculating the step distance to improve the identification accuracy.
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公开(公告)号:US20220160202A1
公开(公告)日:2022-05-26
申请号:US17102558
申请日:2020-11-24
Applicant: PIXART IMAGING INC.
Inventor: GUO-ZHEN WANG
Abstract: A method for eliminating misjudgment of a reflective light applied to an autonomous robot is provided. The autonomous robot includes a driving system and an optical sensing system that includes a light source and a light sensor. The light source emits a transverse linear light as detection light and the light sensor senses reflective light signals from an object that reflects the detection light. In the method, a frame image including the reflective light signals is captured by the light sensor, characteristics of the reflective light signals are analyzed, and the characteristics of the reflective light signals can be corrected based on the characteristics of previous reflective light signals stored in a memory of the autonomous robot in order to exclude abnormal information. The object can be confirmed based on the corrected characteristics of reflective light signals. The misjudgment caused by the abnormal information can therefore be eliminated.
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公开(公告)号:US20210333094A1
公开(公告)日:2021-10-28
申请号:US17368363
申请日:2021-07-06
Applicant: PixArt Imaging Inc.
Inventor: GUO-ZHEN WANG
Abstract: There is provided an optical capacity measurement device including a light source, an image sensor and a processing unit. The light source projects an optical line toward container space of a container. The image sensor captures an image containing a reflective light image associated with the optical line. The processing unit calculates a depth distribution of contents in the container space according to the reflective light image in the captured image, and integrates the depth distribution to obtain a capacity of the contents in the container space.
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公开(公告)号:US20210293961A1
公开(公告)日:2021-09-23
申请号:US17342044
申请日:2021-06-08
Applicant: PixArt Imaging Inc.
Inventor: GUO-ZHEN WANG
Abstract: There is provided a mobile robot that performs the obstacle avoidance and visual simultaneous localization and mapping (VSLAM) according to image frames captured by the same optical sensor. The mobile robot includes a pixel array and a processor. An upper part of the pixel array is not coated with any filter and a lower part of the pixel array is coated with an IR filter. The processor performs range estimation using pixel data corresponding to the lower part of the pixel array, and perform the VSLAM using pixel data corresponding to the upper part of the pixel array.
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