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公开(公告)号：US20240087152A1
公开(公告)日：2024-03-14
申请号：US18187729
申请日：2023-03-22
发明人： Tianhui WU , Fei CHEN , Guannan JIANG
CPC分类号： G06T7/60 , G06T7/80 , G06T2207/30164 , G06T2207/30244
摘要： This application provides a method for measuring dimensions to reduce measurement time and improve production efficiency, including: obtaining a first image and a second image of a to-be-measured workpiece, where the first image and the second image are images captured by a first camera and a second camera at different positions respectively; extracting a first corner set of the to-be-measured workpiece from the first image and a second corner set of the to-be-measured workpiece from the second image separately; rectifying position coordinates of the first corner set and position coordinates of the second corner set to obtain a position coordinate value of the first corner set and a position coordinate value of the second corner set in a same coordinate system; and obtaining dimensions of the to-be-measured workpiece based on the position coordinate value of the first corner set and the position coordinate value of the second corner set.
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公开(公告)号：US20240265525A1
公开(公告)日：2024-08-08
申请号：US18639515
申请日：2024-04-18
发明人： Yongfa LIU , Guannan JIANG , Annan SHU
IPC分类号： G06T7/00
CPC分类号： G06T7/001
摘要： A method and a device for defect detection are provided. The method includes: obtaining a defect eigenvector of an image to be detected; calculating a similarity score of the image to be detected for each known defect type according to the defect eigenvector; and performing defect classification on the image to be detected according to the similarity score. The similarity score between the defect eigenvector of the image to be detected and each known defect type is calculated, and then it is possible to distinguish known defects from unknown defects and accurately classify the known defects according to the similarity scores, so as to effectively detect the defects.
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公开(公告)号：US20240207980A1
公开(公告)日：2024-06-27
申请号：US18296993
申请日：2023-04-07
发明人： Fei CHEN , Guannan JIANG , Xiaoyi CHEN
CPC分类号： B23K31/125 , G06T7/0004
摘要： A welding mark inspection method includes acquiring a picture including a welding mark, and obtaining a classification type of the welding mark based on the picture and a welding mark classification model. The welding mark classification model is configured to classify the welding mark based on characteristics of the welding mark.
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4.发明公开公开(公告)号：US20240029233A1
公开(公告)日：2024-01-25
申请号：US18138501
申请日：2023-04-24
发明人： Lu LI , Zhiyu WANG , Guannan JIANG
CPC分类号： G06T7/0008 , G06T3/60 , G06T5/20 , G06T7/13 , G06V10/25 , G06V10/28 , G06V10/751 , G06V10/761 , G06T2207/20164
摘要： A method and an apparatus for inspecting tab appearance of cell assembly, an electronic device, a non-transitory computer-readable storage medium, and a computer program product are provided. The method includes: obtaining an image for inspection that includes a background region and a cell assembly image region, where the cell assembly image region includes a body zone and a plurality of tab stacking regions, each tab stacking region adjoining a top edge or a bottom edge of the body zone; determining each root corner of the plurality of tab stacking regions in the image for inspection; determining two side edges of the body zone in the image for inspection; determining at least one reference edge line in the image for inspection based on the two side edges of the body zone in the image for inspection; and determining result information of the tab appearance inspection based on each root corner of the plurality of tab stacking regions in the image for inspection and the at least one reference edge line.
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公开(公告)号：US20240071030A1
公开(公告)日：2024-02-29
申请号：US18361972
申请日：2023-07-31
发明人： Boxiong HUANG , Guannan JIANG , Zhiyu WANG
CPC分类号： G06V10/25 , G06T7/50 , G06T7/73 , G06V10/44 , G06V20/70 , G06T2207/20084 , G06V2201/07
摘要： Some embodiments of this application disclose a method and device for locating a target region on an image, and a computer-readable storage medium. The method includes: obtaining coordinates of target points in a to-be-detected image based on a feature point recognition model; and locating the target region based on the coordinates of the target points. The to-be-detected image includes an unstably imaged target region. A target object in the target region includes a stably imaged first section and an unstably imaged second section. The target points include a feature point on the first section. The method can improve accuracy and efficiency of locating the target region.
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6.发明公开公开(公告)号：US20240062381A1
公开(公告)日：2024-02-22
申请号：US18385938
申请日：2023-11-01
发明人： Bingquan WANG , Fei CHEN , Guannan JIANG
摘要： The present application relates to a cell detection method and apparatus, a device, a readable storage medium, and a program product. The method may include: obtaining a first image, where the first image includes a first area where a cell is located; determining a first edge line of the cell based on the first area; and determining a detection result of the cell based on grayscale values corresponding to pixels in a preset area in the first image, where the detection result is used to indicate whether the cell includes a bottom support sheet, and the preset area is an area within a preset range from the first edge line.
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公开(公告)号：US20240012401A1
公开(公告)日：2024-01-11
申请号：US18131373
申请日：2023-04-06
发明人： Jiwei CHEN , Guannan JIANG
IPC分类号： G05B19/418 , G06T7/00
CPC分类号： G05B19/41875 , G05B19/41865 , G06T7/0004
摘要： A debugging method for production line devices may include: receiving control commands for a plurality of first devices in a production line, where respective control programs may be configured for the plurality of first devices; and calling the control programs for the plurality of first devices according to the control commands for the plurality of first devices respectively so as to debug the plurality of first devices.
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公开(公告)号：US20230281919A1
公开(公告)日：2023-09-07
申请号：US18317067
申请日：2023-05-13
发明人： Guannan JIANG , Lili HAN
CPC分类号： G06T15/506 , G06T7/55 , G06T19/20 , G06T2219/2012 , G06T2207/10028
摘要： An image processing method includes obtaining two-dimensional and three-dimensional images of an object, extracting luminance and depth information from the three-dimensional image to generate luminance and depth image for the object, graying the two-dimensional image to obtain a single-channel grayscale image, selecting at least three same-location points from each of the grayscale and luminance image, calculating a coordinate transformation matrix between the grayscale and luminance images based on coordinates of the at least three same-location points in each of the grayscale and luminance images, and aligning the two-dimensional image with the luminance and depth images based on the coordinate transformation matrix to obtain fused image data. The fused image data includes color information of the two-dimensional image and the luminance and depth information of the three-dimensional image.
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9.发明公开公开(公告)号：US20230267716A1
公开(公告)日：2023-08-24
申请号：US18309531
申请日：2023-04-28
发明人： Guannan JIANG , Fei CHEN , Lu LI
IPC分类号： G06V10/776 , G06V10/774 , G06T7/11
CPC分类号： G06V10/776 , G06V10/7747 , G06T7/11
摘要： A data annotation method for image segmentation includes performing training using an annotated training sample set to obtain a data annotation model, inputting an original image sample to the data annotation model to obtain an automatic annotation result corresponding to the original image sample, visually presenting the automatic annotation result together with the original image sample based on a preset annotation strategy, receiving correction to the automatic annotation result and converting the received correction into a corrected annotation result based on the annotation strategy, and optimizing the data annotation model using the corrected annotation result and the original image sample together as a new annotated training sample.
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公开(公告)号：US20230245457A1
公开(公告)日：2023-08-03
申请号：US18131379
申请日：2023-04-06
发明人： Guannan JIANG , Qiangwei HUANG , Annan SHU
CPC分类号： G06V20/50 , G06V10/44 , G06V10/26 , G06V10/768 , G06V10/82
摘要： An image recognition method may include: acquiring a target image, where the target image may include a weld bead region; performing initial segmentation on the target image, to obtain a first recognition result, where the first recognition result may include first recognition information for the weld bead region in the target image; performing feature extraction on the target image, to obtain a region representation; obtaining a context representation based on the first recognition result and the region representation, where the context representation may be used for representing a correlation between each pixel and remaining pixels in the target image; and obtaining a second recognition result based on the context representation, where the second recognition result may include second recognition information for the weld bead region in the target image.
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