ULTRAVIOLET LIGHT-BASED INSPECTION FOR DETECTING COATING DEFECTS IN MANUFACTURED WEBS USING FLUORESCING AGENTS

    公开(公告)号:US20240094139A1

    公开(公告)日:2024-03-21

    申请号:US17768151

    申请日:2020-11-04

    CPC classification number: G01N21/8901 G01N21/6428 G01N21/6456 G01N35/10

    Abstract: Techniques are described for automatically detecting defects in webs using ultraviolet light to excite fluorescing agents in various layers of the web. In one example. a system for detecting defects in the web includes an inspection device and a processing unit. The inspection device includes a lighting unit, a filter, and an image capture device. The lighting unit is configured to emit ultraviolet light having a first wavelength to the web, the web including a fluorescing agent configured to emit light having a second wavelength upon excitation by the ultraviolet light. The image capture device is configured to capture one or more images of the light having the second wavelength after the light has passed through the filter. The processing unit is configured to determine whether the web includes a defect based on the one or more images.

    AUTOMATED LIQUID ADHESIVE DISPENSING USING PORTABLE MEASURING DEVICE

    公开(公告)号:US20240075495A1

    公开(公告)日:2024-03-07

    申请号:US17754664

    申请日:2020-10-07

    Abstract: 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.

    Inspecting Sheet Goods Using Deep Learning
    3.
    发明公开

    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 classification number: G06T7/001 G06V10/82 G06T2207/20084

    Abstract: 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.

    AUTOMATED INSPECTION FOR SHEET PARTS OF ARBITRARY SHAPE FROM MANUFACTURED FILM

    公开(公告)号:US20210390676A1

    公开(公告)日:2021-12-16

    申请号:US17283611

    申请日:2019-10-14

    Abstract: 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.

    Automated liquid adhesive dispensing using portable measuring device

    公开(公告)号:US12168243B2

    公开(公告)日:2024-12-17

    申请号:US17754664

    申请日:2020-10-07

    Abstract: 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.

    Active Learning Management System for Automated Inspection Systems

    公开(公告)号:US20240071059A1

    公开(公告)日:2024-02-29

    申请号:US18269657

    申请日:2021-12-23

    CPC classification number: G06V10/778 G06V10/7715

    Abstract: 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.

    SYNCHRONIZING MULTIPLE PROCESSING SYSTEMS
    8.
    发明申请

    公开(公告)号:US20190219979A1

    公开(公告)日:2019-07-18

    申请号:US16337105

    申请日:2017-09-27

    Abstract: Systems and methods are directed to a device comprising a product status synchronization device. Examples of the product status synchronization device comprise a plurality of input ports and an encoder input, each of the input ports coupled to one of a plurality of registers and configured to receive a signal indicative of a status assigned to a product by one of a plurality of process stations, and to register the status assigned to the product into the one of the plurality of registers coupled to the input port, wherein one or more of the plurality of process stations are located at different distances from a predetermined location along a processing line and are configured to asynchronously process one or more products moving through the processing line.

    Optical Inspection System for Detecting Surface Profile Defects in Manufactured Webs

    公开(公告)号:US20250060319A1

    公开(公告)日:2025-02-20

    申请号:US18717860

    申请日:2022-12-13

    Abstract: Systems and techniques are described for detecting surface profile defects within a moving web. An example system includes a conveyor configured to translate the web, along a downweb direction and at a translation speed, relative to an inspection area; a point light source configured to emit light, wherein the point light source is positioned and oriented relative to the conveyor to illuminate a portion of the web positioned within the inspection area; a diffusing screen positioned and oriented relative to the conveyor to receive the light reflected from the web as the web is translated through the inspection area; an image capture device configured to capture images of the diffusing screen; and a computing device configured to: identify, based on the images, a surface profile defect in a surface of web; and output data indicating a relative location of the defect within the web.

Patent Agency Ranking