Cognex Corporation announced today that it has acquired ViDi Systems SA, a maker of deep learning software for industrial machine vision.
ViDi’s deep learning software uses artificial intelligence techniques to improve image analysis in applications where it is difficult to predict the full range of image variations that might be encountered. Using feedback, ViDi’s software trains the system to distinguish between acceptable variations and defects.
ViDi was a participant in the IMD Startup Competition and travelled with the IMD EMBA class to Silicon Valley in 2016
Created in 1999, the IMD Startup Competition provides a unique opportunity for startups to benefit from the help and insights from participants in the MBA and the Executive MBA programs at IMD.
“The ViDi team is at the forefront of applying deep learning techniques to the real-world challenges of industrial machine vision,” said Robert J. Willett, President and CEO of Cognex. “We are excited to bring this expertise to Cognex to broaden the scope of applications that can be addressed at a world-class level with Cognex vision.”
Nicolas Corsi, CEO of ViDi credits IMD with a role in the company’s success: “During our collaboration at IMD, I learned a lot in many aspects of the business, and that certainly helped me negotiate the aquisition better.”
Upon closing, ViDi Systems became part of Cognex’s Vision Products business unit, where their deep learning software will continue to be developed and integrated into the Cognex product portfolio. The transaction is not expected to have a material impact on Cognex’s financial results in 2017 or 2018.
ViDi Systems, based in Villaz-St.-Pierre Switzerland, was founded in 2012 by Dr. Reto Wyss, a computational neuroscience Ph.D., and the CPA Group, a Swiss industrial holding company and business incubator. Dr. Wyss and ViDi’s team of engineers joined Cognex at the time of the closing on April 4, and Cognex will maintain operations at the company’s current site in Switzerland.
Find out more about the IMD startup competition.