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公开(公告)号：US20240071059A1
公开(公告)日：2024-02-29
申请号：US18269657
申请日：2021-12-23
发明人： Samuel S. Schreiner , Steven P. Floeder , Jeffrey P. Adolf , Carl J. Skeps , Shane T. Van Kampen
IPC分类号： G06V10/778 , G06V10/77
CPC分类号： G06V10/778 , G06V10/7715
摘要： An example method for selecting product images for training a machine-learning model includes obtaining product images to include in an image population; receiving an indication of an image selection strategy for determining if a product image is to be included in a set of images of interest; determining image transforms based on configuration data for the indicated image selection strategy, wherein the image transforms perform image manipulation operations to obtain transformed image data for each of the product images in the image population; selecting a subset of images from the image population for inclusion in the set of images of interest based on the indicated image selection strategy and the transformed image data; determining one or more descriptive labels and applying the one or more descriptive labels to the respective sets of images; and training an inspection model for a product inspection system based on the labeled images.
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公开(公告)号：US20210323167A1
公开(公告)日：2021-10-21
申请号：US17270490
申请日：2019-08-21
摘要： A method and associated system for providing robotic paint repair includes receiving coordinates of identified defects in a substrate along with characteristics of the defects, and communicating the coordinates to a robot controller module along with additional data needed to control a robot manipulator to bring an end effector of the robot manipulator into close proximity to the identified defect on the substrate. The characteristics of the defect and current state of at least the end effector is provided to a policy server that provides repair actions based on a previously learned control policy that is updated by a machine learning unit. The repair action is executed by communicating instructions for the repair action to the robot controller module and end effector.
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公开(公告)号：US20210278347A1
公开(公告)日：2021-09-09
申请号：US16326635
申请日：2017-09-01
发明人： Steven P. Floeder , Nathaniel S. Rowekamp , Xin Yu , James A. Masterman , Ian A. Edhlund , Mark E. Flanzer , Scott P. Daniels , Matthew V. Rundquist , Jeffrey P. Adolf
IPC分类号： G01N21/89 , G01N21/892 , G01N21/896
摘要： Techniques are described for inspection of films in order to detect Machine Direction Line (“MDL”) defects. An example system comprises a light source configured to provide a source of light rays, directed to a film product so that the light rays are incident to a surface of the film product at a non-perpendicular angle of incidence. An image capturing device is configured to generate an image of the film product by capturing a level of light intensity of the light rays exiting the film product in a plurality of image areas, each image area representing a line imaged across the film product that is perpendicular to a direction of manufacture of the film product. An image processing device is configured to process the image of the film product to provide an indication of the detection of one or more machine direction line (MDL) defects in the film product.
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公开(公告)号：US20210110563A1
公开(公告)日：2021-04-15
申请号：US17052706
申请日：2019-05-08
摘要： A system for measuring dimensions of film to be applied to a window includes a plurality of removable cards for placement on the window, each of the plurality of removable cards having a plurality of visible correspondence points at pre-defined positions on the respective removable card. The system further includes a mobile device having an image capture device, and the image capture device is configured to capture an image of the window having a set of correspondence points visible in the image. Additionally, the system includes a server configured to receive the image of the window captured by the mobile device and process the image to determine dimensions of a film to be cut for the window based on the set of correspondence points and the pre-defined positions, and processing the image removes perspective distortions in the image. The system is configured to output the dimensions of the film.
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公开(公告)号：US11935261B2
公开(公告)日：2024-03-19
申请号：US17052706
申请日：2019-05-08
摘要： A system for measuring dimensions of film to be applied to a window includes a plurality of removable cards for placement on the window, each of the plurality of removable cards having a plurality of visible correspondence points at pre-defined positions on the respective removable card. The system further includes a mobile device having an image capture device, and the image capture device is configured to capture an image of the window having a set of correspondence points visible in the image. Additionally, the system includes a server configured to receive the image of the window captured by the mobile device and process the image to determine dimensions of a film to be cut for the window based on the set of correspondence points and the pre-defined positions, and processing the image removes perspective distortions in the image. The system is configured to output the dimensions of the film.
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6.发明公开公开(公告)号：US20240046617A1
公开(公告)日：2024-02-08
申请号：US18268834
申请日：2021-12-23
IPC分类号： G06V10/764 , G06T7/00 , G06V10/772 , G06V10/774 , G06V10/82
CPC分类号： G06V10/765 , G06T7/0004 , G06V10/772 , G06V10/774 , G06V10/82 , G06T2207/20081 , G06T2207/30108
摘要： Machine learning-based systems are described for automatically generating an inspection recipe that can be utilized when inspecting web materials, sheet parts or other products for defects. One example method for generating an inspection recipe includes assigning, by processing circuitry, a pseudo-label to each image of a plurality of images based on the content of the image and a labeling model, and storing the pseudo-labeled images in a second set of images; extracting, by the processing circuitry, one or more features from each image of the plurality of images, and storing the one or more features as a feature list for the image; generating, by the processing circuitry, a decision tree based on the second set of images and the feature lists of the second set of images; generating, by the processing circuitry, an inspection recipe based on the decision tree, the inspection recipe comprising a plurality of classification rules; and outputting the inspection recipe.
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公开(公告)号：US20240075495A1
公开(公告)日：2024-03-07
申请号：US17754664
申请日：2020-10-07
IPC分类号： B05C11/10 , G05B19/418
CPC分类号： B05C11/1005 , G05B19/41875 , G05B2219/45238 , G05B2219/50063
摘要： A system includes a robot, a measuring device, and a processor. The robot is configured to dispense, based on at least one process parameter, a liquid adhesive bead onto a substrate. The measuring device is configured to measure at least one characteristic of the bead shape. The processor is configured to determine, based on a reference bead shape and at least one reference process parameter, response surface profile of the liquid adhesive. The processor is configured to compare the measured bead shape to a reference bead shape and, responsive to determining the measured bead shape is different than the reference bead shape, determine, based on the response surface profile, at least one updated process parameter. The updated process parameter is configured to cause the robot to dispense a second bead having the reference bead shape.
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公开(公告)号：US20230169642A1
公开(公告)日：2023-06-01
申请号：US17925771
申请日：2021-06-01
CPC分类号： G06T7/001 , G06V10/82 , G06T2207/20084
摘要： An inspection system includes an inspection device having at least one image capture device. The image capture device captures image data of a sheet part passing through the inspection device. A processing unit of the inspection device provides the image data representative of the sheet part to a plurality of neural networks, where each of the neural networks is trained to identify a corresponding defect in the sheet part and output data indicative of the presence of the corresponding defect. The processing unit determines a quality category of the sheet part based on the data indicative of the presence of the corresponding defect output by each corresponding neural network. The processing unit can further output the quality category of the sheet part to a sorter that can sort the sheet part based on the quality category.
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公开(公告)号：US20210390676A1
公开(公告)日：2021-12-16
申请号：US17283611
申请日：2019-10-14
摘要： An example system is described herein. The example system may include an inspection device comprising at least one image capture device, the at least one image capture device configured to capture a reference image of a sheet part. Additionally, the example system may include a processing unit configured to identify at least one primary point in the reference image and identify at least one secondary point in a mask image. The processing unit may transform the mask image based on the at least one primary point and the at least one secondary point. The processing unit may apply the transformed mask image to the reference image to identify an inspection region within the reference image, process the inspection region of the reference image to determine the quality of the sheet part, and output information indicative of the quality of the sheet part.
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公开(公告)号：US20240058837A1
公开(公告)日：2024-02-22
申请号：US17754530
申请日：2020-10-07
CPC分类号： B05C11/1005 , B05C5/0216 , B05D1/26 , B05C11/1034
摘要： A method includes dispensing, by a robot within a manufacturing environment using at least one process parameter, one or more linear beads of a liquid adhesive representative of a target complex dispense path onto a surface of a substrate, the linear beads extending along a longitudinal axis and having a bead shape transverse to the longitudinal axis based on the at least one process parameter; and measuring, via a one-dimensional scan by a measuring device positioned within the manufacturing environment, at a plurality of discrete positions along the longitudinal axis of the linear beads, at least one characteristic of the bead shape.
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