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公开(公告)号:US20220301145A1
公开(公告)日:2022-09-22
申请号:US17205437
申请日:2021-03-18
Applicant: UnitX, Inc.
Inventor: Kedao Wang
Abstract: A fused imaging device and method are disclosed. The device comprises a light source component, an image capture component, and a control component. The control component may be configured to control the light source component to illuminate a target object based on a preset plurality of first optimal lighting configurations. The control component may further control the image capture component to capture images of the target object to obtain multiple first images, under the illumination of the light source component and generate a target image of the target object, based on the first images. The control component may further adjust the incidence angle, pattern, and wavelength of the light source in the light source component, as well as the exposure, lens focus, and polarization of the image capture component, to detect target object defects in captured images of the target object.
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公开(公告)号:US20240155247A1
公开(公告)日:2024-05-09
申请号:US17981380
申请日:2022-11-04
Applicant: UnitX, Inc.
Inventor: Boyun Wang , Weixiong Zheng , Kedao Wang
CPC classification number: H04N5/2352 , G06T7/0004 , G06T2200/24 , G06T2207/10144 , G06T2207/10152
Abstract: In an example embodiment, a controller and computer system are provided for a lighting apparatus. More particularly, users are able to use the computer system to define a sequence of one or more capture configurations. Each capture configuration includes identification(s) of one or more light sources to illuminate during an image capture, one or more channels to use to capture the image, and an exposure time. Each sequence can further define custom delays between capture configurations within the sequence. Upon receipt of a trigger from either hardware or software, the controller then fires the stored sequence, which takes images based on the captured configurations (and delays). Artificial intelligence techniques can then be applied to the captured images to identify suspected defects in components captured in the images.
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公开(公告)号:US20230061004A1
公开(公告)日:2023-03-02
申请号:US17411339
申请日:2021-08-25
Applicant: UnitX, Inc.
Inventor: Kedao Wang
Abstract: The present disclosure provides a dimensional measurement method and device based on deep learning. The method includes capturing a target image of a target object, obtaining measurement data for the target image, and determining whether or not the target object is within a preset tolerance.
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公开(公告)号:US20240303794A1
公开(公告)日:2024-09-12
申请号:US18119151
申请日:2023-03-08
Applicant: UnitX, Inc.
Inventor: Weixiong Zheng , Kedao Wang
CPC classification number: G06T7/0002 , G06T7/70 , G06T2200/24 , G06T2207/20081 , G06T2207/20084 , G06T2207/20104
Abstract: In an example embodiment, two different neural networks are used in conjunction with each other to identify defects in items appearing in images. More particularly, a defect neural network is trained on images labeled with an indication of a defect type (or no defect) appears in an item in the image (with optionally an identification of the area in which the defect appears). Separately, a location neural network is trained on images that have a specific geometric shape (e.g., point, line, circle) labeled in the image. The labels identify not just the pixels that are part of the shape, but also provide a value that indicates a degree of the identification of the location. Surrounding pixels to the identified shapes are then given values according to a distribution that is based on distance from the shape, with the peak values being those pixels that are exactly on the identified shape.
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公开(公告)号:US20240062358A1
公开(公告)日:2024-02-22
申请号:US18384770
申请日:2023-10-27
Applicant: UNITX, INC.
Inventor: Kedao Wang
CPC classification number: G06T7/0006 , B25J11/00 , G06T3/40 , G06T7/62 , G06T7/73 , G06V10/22 , G06V10/82 , G06T2207/20084 , G06T2207/30108 , G06T2207/30164 , G06V2201/06
Abstract: The present disclosure provides a dimensional measurement method and device based on deep learning. The method includes capturing a target image of a target object, obtaining measurement data for the target image, and determining whether or not the target object is within a preset tolerance.
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公开(公告)号:US11763442B2
公开(公告)日:2023-09-19
申请号:US17205288
申请日:2021-03-18
Applicant: UnitX, Inc.
Inventor: Kedao Wang
CPC classification number: G06T7/0004 , G06T7/73 , G06T2207/10152 , G06T2207/30136
Abstract: A fused imaging device and method are disclosed. The device comprises a light source component, an image capture component, and a control component. The control component may be configured to control the light source component to illuminate a target object based on a preset plurality of first optimal lighting configurations. The control component may further control the image capture component to capture images of the target object to obtain multiple first images, under the illumination of the light source component and generate a target image of the target object, based on the first images. The control component may further adjust the incidence angle, pattern, and wavelength of the light source in the light source component, as well as the exposure, lens focus, and polarization of the image capture component, to detect target object defects in captured images of the target object.
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公开(公告)号:US20210342688A1
公开(公告)日:2021-11-04
申请号:US17226596
申请日:2021-04-09
Applicant: UnitX, Inc.
Inventor: Kedao Wang
Abstract: The present disclosure relates to a method, devices, and storage medium for training neural networks based on memory scores. The said method comprises: establishing the memory scores of a plurality of first-sample images in the library, from their training ages and training indicators, and a preset discount rate; determining a plurality of second-sample images from these memory scores and a preset first count, and using them to establish the first training set; training the neural network by using the first training set, with the said neural network is used for defect detection. The neural network training method in the disclosed embodiment reduces the size of the training set and shortens the time to converge, thereby improving training efficiency.
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公开(公告)号:US11854182B2
公开(公告)日:2023-12-26
申请号:US17411339
申请日:2021-08-25
Applicant: UnitX, Inc.
Inventor: Kedao Wang
CPC classification number: G06T7/0006 , B25J11/00 , G06T3/40 , G06T7/62 , G06T7/73 , G06V10/22 , G06V10/82 , G06T2207/20084 , G06T2207/30108 , G06T2207/30164 , G06V2201/06
Abstract: The present disclosure provides a dimensional measurement method and device based on deep learning. The method includes capturing a target image of a target object, obtaining measurement data for the target image, and determining whether or not the target object is within a preset tolerance.
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公开(公告)号:US11734812B2
公开(公告)日:2023-08-22
申请号:US17205437
申请日:2021-03-18
Applicant: UnitX, Inc.
Inventor: Kedao Wang
CPC classification number: G06T7/0004 , G06T15/205 , G06T2207/10152 , G06T2207/30136
Abstract: A fused imaging device and method are disclosed. The device comprises a light source component, an image capture component, and a control component. The control component may be configured to control the light source component to illuminate a target object based on a preset plurality of first optimal lighting configurations. The control component may further control the image capture component to capture images of the target object to obtain multiple first images, under the illumination of the light source component and generate a target image of the target object, based on the first images. The control component may further adjust the incidence angle, pattern, and wavelength of the light source in the light source component, as well as the exposure, lens focus, and polarization of the image capture component, to detect target object defects in captured images of the target object.
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公开(公告)号:US20220301144A1
公开(公告)日:2022-09-22
申请号:US17205288
申请日:2021-03-18
Applicant: UnitX, Inc.
Inventor: Kedao Wang
Abstract: A fused imaging device and method are disclosed. The device comprises a light source component, an image capture component, and a control component. The control component may be configured to control the light source component to illuminate a target object based on a preset plurality of first optimal lighting configurations. The control component may further control the image capture component to capture images of the target object to obtain multiple first images, under the illumination of the light source component and generate a target image of the target object, based on the first images. The control component may further adjust the incidence angle, pattern, and wavelength of the light source in the light source component, as well as the exposure, lens focus, and polarization of the image capture component, to detect target object defects in captured images of the target object.
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