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    • Highlights

    Photo/Chromasens
    Pin Inspection(vsd)
    Automotive Manufacturing

    New Automated Inspection System Developed

    Aug. 22, 2023
    System designed for automotive industry automated inspection.
    Vsd Md Promo
    Factory Automation

    IDEA Awards Voting Deadline Extended to August 11

    Bob Vavra
    Aug. 7, 2023
    Cast your votes for this year's outstanding product innovations.
    Courtesy of SVS-Vistek
    Vsd Qc Assistent 01 Fullres
    Factory Automation

    The HEKUtip QC Assistant Delivers Precise Measurements

    Linda Wilson
    July 24, 2023
    Ziemann & Urban's automated pipette-tip inspection system uses machine vision to inspect the plastic tips used in laboratory testing procedures.
    Photo/Euresys
    Deep Learning Bundle (vsd)
    Factory Automation

    Latest Machine Vision Inspection Libraries Launched

    July 21, 2023
    Libraries optimized for machine vision applications.
    Vsd Tristar Ai Image
    Manufacturing

    Smart Camera Platform Monitors Human Activity on Factory Floor

    Linda Wilson
    July 17, 2023
    2023 IDEA Award Nominee Tristar AI says its platform alerts supervisors to potential quality issues.
    Vision Systems Design 2023 Innovators Awards 1
    Factory Automation

    Vision Systems Design Innovators Awards Honorees Announced

    Linda Wilson
    May 22, 2023
    A total of 38 products and technologies were named in bronze, silver, gold, and platinum categories.
    Courtesy of Newsight Imaging
    Vsd Mt Li Dar 3 1
    Factory Automation

    LiDAR 3D Scanning Solution

    May 18, 2023
    The product kit is is designed for short-distance measurement applications.
    Automate Preview Primary
    Events

    Automate 2023 Product Preview

    Jim Tatum
    May 12, 2023
    Click through for a preview of products on display at Automate 2023.
    Courtesy of Durgin and Crowell
    Vsd Durginand Crowell
    Manufacturing

    Inspecting Surface Defects in Wood Paneling and Siding

    Linda Wilson
    March 23, 2023
    Machine vision system highlights surface imperfections in pine boards that result from manufacturing errors.