NVIDIA Programs Attracting Companies from Gamut of Vision Space

SANTA CLARA, Calif., Aug. 24, 2022 — NVIDIA’s Inception and Metropolis programs have attracted multiple vision-focused startups and companies, including Covision Quality, Deci, Hayden AI, and Seeed Studio. Semiconductor technology company Newsight Imaging is among the latest to join NVIDIA’s Inception program, of which Covision Quality is also a member. Covision joined Inception last year and joined the Metropolis program in July.

Covision Quality’s interface from the perspective of the end-of-line quality control operator. In this case, the red border on the image of the manufactured part indicates that the part is “not OK”, thus cannot be sent to the end customer and needs to be discarded. Courtesy of Covision Quality.

Covision Quality’s interface from the perspective of the end-of-line quality control operator. The red border on the image of the manufactured part indicates that the part is 'not OK,' thus cannot be sent to the end customer and needs to be discarded. Courtesy of Covision Quality.

The Inception program is designed to nurture startups with innovative technological advancements by supporting them during critical stages of product development, prototyping, and deployment. Members of the program get a custom set of ongoing benefits, such as NVIDIA Deep Learning Institute credits, marketing support, and technology assistance.

For Newsight Imaging, which develops 3D machine vision sensors and spectral vision chips, membership in Inception will enable the company to expand its approach to the automotive depth-vision ecosystem, which includes makers of lidars, advanced driver-assistance systems, and autonomous vehicle-safety technology, as well as to support customers wishing to build products based on Newsight’s sensors and the NVIDIA AI platform. Inception will also provide Newsight the opportunity to collaborate with industry-leading experts and other AI-driven organizations, the company said.

NVIDIA Metropolis is a partner program, application framework, and set of developer tools designed to help usher in a new generation of vision AI applications. The platform is used to make sense of vast quantities of data created by sensor technologies across a range of industries, including retail, manufacturing, traffic infrastructure, and health care facilities.

Members of the program can gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. The program also offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations.

Covision Quality is a spinoff of Covision Lab, a computer vision and machine learning application center and company builder. Covision Quality licenses its visual inspection software product to manufacturing companies in several industries, ranging from metal manufacturing to packaging. Thanks to its unsupervised machine learning technology, the company’s software can be trained in an hour on average and generates reduction of pseudo-scrap rates by up to 90% for its customers. Its workstations deployed at customer sites harness the power of NVIDIA RTX A5000 GPU-accelerated computing, which allows the software to run in real time — processing images, inspecting components, and more.

“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,” said Franz Tschimben, CEO of Covision Quality.

There are 754 suppliers of Sensors & Detectors in the Photonics Marketplace.

Published: August 2022

Glossary

machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
hyperspectral imaging: Hyperspectral imaging is an advanced imaging technique that captures and processes information from across the electromagnetic spectrum. Unlike traditional imaging systems that record only a few spectral bands (such as red, green, and blue in visible light), hyperspectral imaging collects data in numerous contiguous bands, covering a wide range of wavelengths. This extended spectral coverage enables detailed analysis and characterization of materials based on their spectral signatures. Key...
deep learning: Deep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. The term "deep" in deep learning refers to the use of deep neural networks, which are neural networks with multiple layers (deep architectures). These networks, often called deep neural networks or deep neural architectures, have the ability to automatically learn hierarchical representations of data. Key concepts and components of deep learning include: ...
artificial intelligence: The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning, and problem solving.
computer vision: Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
deci: Sl prefix meaning one tenth, 10-1.

Browse Cameras & Imaging, Lasers, Optical Components, Test & Measurement, and more.