AI Driven Automatic Surface Defects Detection and Repair with Reactive Robots
Defects are automatically detected on any car body or component with cameras and then fully automatically planned for autonomous repair by robots.
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Month: June 2023
World’s Leading Electronics Manufacturers Adopt NVIDIA Generative AI and Omniverse to Digitalize State-of-the-Art Factories
Innodisk is deploying NVIDIA Metropolis to automate optical inspection processes on its production lines, saving cost and improving production efficiency.
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Verisurf Software Performs Thickness Inspection With Ultrasonic Probe
Leveraging the powerful Dynamic Surface Points tool, Inspection Plans within Verisurf now incorporate ultrasonic thickness measurements.
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Creaform Returns as an Official Supplier of New York Yacht Club American Magic
Working with Creaform’s team is a great advantage for NYYC American Magic.
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Time-of-Flight Camera Provider Partners with Han’s Robot
Vzense Technology has announced a partnership with China’s Han’s Robot, a renowned player in the Chinese robotics sector.
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ZEISS Accelerates Validation Process for CMMs to Achieve FDA Compliance
ZEISS offers a variety of services for FDA-regulated manufacturers to validate their CMM systems and inspection process.
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cxMetrology Evaluation Package Provides Fast 3D Measurement Sensor Integration
Until now, customers have always been faced with the challenge of detecting all defects simultaneously with one 3D sensor and then also finding the optimum software for evaluating these defects.
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Intuitive Vision System Deliver Reliable Customised Automation Testing Solutions
The CV-X Series is not only a powerful and sophisticated vision tool but is also designed to be extremely easy-to-use.
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OGP Unveils New Floor Model SmartScope Multisensor Metrology System
All-new SmartScope E-Series family of Automatic Digital Zoom metrology systems launched.
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Machine Training System Leverages Digital Twins Helping Bridge Shop-Floor Skills Gaps
Hexagon’s new hardware simulator bridges the manufacturing skills gap by making it easier to prepare inexperienced staff for the demands of the factory.
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