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Covision Quality, a provider of visual inspection software based on unsupervised machine learning, has joined Nvidia’s Metropolis programme.
Nvidia Metropolis is a partner programme, application framework, and set of developer tools to help bring to market a new generation of vision AI applications.
Franz Tschimben, CEO of Covision Quality, commented: ‘We expect that Nvidia Metropolis, which sits at the heart of many developments that are happening in the industry today, will give us a boost in our go-to-market efforts and support us in connecting to customers and system integrators.’
Covision Quality is a spin-off of Covision Lab, a European computer vision and machine learning application centre. Covision Quality licenses its visual inspection software product to manufacturing companies in several industries, ranging from metal manufacturing to packaging.
Customers of Covision Quality include GKN Sinter Metals, which produces sinter metal components, and Aluflexpack Group, a manufacturer of flexible packaging.
Covision Quality claims its unsupervised machine learning software can be trained in an hour on average, and generates reduction of pseudo-scrap rates by up to 90 per cent for its customers.
Its workstations deployed at customer sites use Nvidia RTX A5000 GPU-accelerated computing, which allows the software to run in real time.
The Nvidia Metropolis ecosystem contains a large number of members who are investing in advanced AI techniques and efficient deployment platforms, and using an enterprise-class approach to their solutions.
Members have the opportunity to gain early access to Nvidia platform updates to further enhance and accelerate their AI application development efforts. The programme also offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organisations.
Tschimben added: ‘Joining Nvidia Metropolis marks yet another milestone in our company’s young history and in our relationship with Nvidia, which started with our company joining the Nvidia Inception programme last year. It is a testament to the great work the team is doing in providing a scalable visual inspection software product to our customers, drastically reducing time to deployment of visual inspection systems and pseudo scrap rates.’
One of the early 3D deflectometry scanners used security cameras, but still produced a high-quality 3D surface profile. Credit: Isak du Preez/Axiscan
DeGould's Auto-compact inspection system. Credit: DeGould and Sony
One of the early 3D deflectometry scanners used security cameras, but still produced a high-quality 3D surface profile. Credit: Isak du Preez/Axiscan
Figure 1: Inspected object with multiple lighting angles in front of the camera. Credit: Euresys
Credit: REDPIXEL.PL/shutterstock.com
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