Globalfoundries, a global semiconductor manufacturer, has turned to Spot to further automate their data collection for condition monitoring and predictive maintenance. Globalfoundries’ semiconductor manufacturing facility in Burlington, Vermont creates products that go into communication devices, RF technology, and more.
Manufacturing facilities are filled with thousands of inspection points, and adding fixed sensors to all these assets is not economical. With Spot bringing the sensors to their assets, the team collects valuable information about the thermal condition of pumps and motors, as well as taking analog gauge readings. Since this equipment has a long life cycle and slow rate of change, the team can better monitor these assets over time - making better informed decisions to keep the facility running.
Boston Dynamics partner Levatas worked to implement automated inspection missions at Globalfoundries’ facility. Building computer vision models based on gauges and motors of a variety of equipment, Levatas was able to provide Spot the cognitive intelligence it needs to know what it’s looking at, and make decisions based on that information.
Register for our webinar to learn more about Spot's inspection and enterprise asset management capabilities: https://bosdyn.co/3M8m9YU
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- boston dynamics, boston dynamics spot, spot robot, boston dynamics spot robot, globalfoundries, enterprise asset management, predictive maintenance, eam, industry 4.0, robotics, manufacturing, semiconductors, semiconductor shortage, asset management, globalfounderies fab 9, burlington vermont, boston dynamics dog, levatas, machine vision models, ai, ai models, predictive maintenance models, artificial intelligence, robot dog, spot boston dynamics, boston dynamics robots
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