Thanks for visiting Imaging and Machine Vision Europe.

You're trying to access an editorial feature that is only available to logged in, registered users of Imaging and Machine Vision Europe. Registering is completely free, so why not sign up with us?

By registering, as well as being able to browse all content on the site without further interruption, you'll also have the option to receive our magazine (multiple times a year) and our email newsletters.

Cognex strengthens deep learning IP with Sualab acquisition

Share this on social media:

Cognex has bought Korean deep learning software provider Sualab for $195 million.

Sualab’s Suakit machine vision software uses neural networks to detect atypical and irregular defects that are not easily captured by a traditional rule-based machine vision system.

The addition of Sualab’sengineering team and intellectual property is expected to enhance Cognex’s existing deep learning capabilities based on technology acquired from Vidi Systems in April of 2017.

‘Deep learning enables Cognex to solve many challenging inspection applications in factories, which, until now, could only be done by large teams of human visual inspectors,’ said Robert Willett, president and CEO of Cognex. ‘Sualab’sconsiderable IP, engineering expertise, and extensive market coverage will help us to serve a fast-growing market, primarily in Asia. Today, tens of thousands of people perform difficult, tedious and error-prone visual inspections for flaws and defects on electronic components and subsystems which will be done more reliably and at lower cost in the future with deep learning-based machine vision.’

Headquartered in Seoul, Korea, Sualab was co-founded in 2013 by Song Kiyoung, who will join Cognex and help lead its team of engineers specialising in the use of deep learning for industrial machine vision applications.

Company: 

Related news

Recent News

08 January 2020

More than 300 exhibitors have booked stand space at the Vision trade fair, set to take place from 10 to 12 November in Stuttgart, Germany

07 January 2020

Flir Systems and Ansys have collaborated to add a thermal imaging dataset to Ansys’s driving simulator for engineers building autonomous vehicles

23 December 2019

The last year has been one of consolidation for the machine vision industry, along with a slowdown in the markets that machine vision serves

18 December 2019

Yates succeeds Jochem Herrmann, who has held the role of EMVA president since 2015 and has decided to step down to spend more time with his family