Cognex Corporation announced that more customers are experiencing increased productivity and efficiency thanks to Cognex machine vision solutions using AI to tackle jobs that until recently could only be done by a human.
“We’re thrilled to hear from customers that are broadening adoption of machine vision thanks to AI making it easier than ever,” said Lavanya Manohar, Senior Vice President, Product at Cognex. “Innovations like our AI-powered In-Sight® SnAPP™ are empowering smaller customers that until now haven’t had the right tools to take advantage of machine vision, and helping larger customers accelerate enterprise-scale automation projects.”
One customer that shared significant success with Cognex is Schneider Electric, which incorporated Cognex machine vision systems into factories around the world as part of a strategic “smart factories” digital transformation initiative. According to Laurent Chantoiseau, GSC Europe Data & Analytics, AI plays a key role in that journey, specifically AI-powered edge learning technology from Cognex that dramatically speeds up installation. Says Chantoiseau, “Cognex edge learning solutions are incredibly easy to set up; generally, in less than 4 hours for a simple use case, we can have an application ready for production.”
Other recent examples of customers benefiting from AI-powered edge learning include:
- Federal Package – a contract manufacturer in Chanhassen, Minnesota, that found the edge learning capabilities of the Cognex In-Sight 2800 extremely valuable for rapid changeovers from one product to the next and being able to accurately identify defects, even as product branding and packaging changed.
- Ansomat – a maker of assembly guidance tools in Ghent, Belgium, that used the Cognex In-Sight 3800 vision system to help customers producing EV batteries provide critical information to workers.
- SDI – a logistics OEM and integrator in Pacoima, California, used the Cognex In-Sight 2800 and edge learning to give their logistics customers more accurate detection and sortation of products on challenging backgrounds.