Aetina, STEMMER Launch Ecosystem Partnership for Embedded Vision

Aetina Europe, an AI solutions provider, has entered into an ecosystem partnership with machine vision company STEMMER IMAGING to deliver embedded vision solutions to market. The collaboration combines Aetina’s hardware with STEMMER’s software to create products that will have vision applications in factory automation, logistics, transport, sports, entertainment, and smart agriculture.

Aetina’s embedded devices, powered by NVIDIA Jetson modules, combined with STEMMER IMAGING’s algorithms and cameras, will offer customers plug-and-play efficiency for the rapid development of embedded vision and AI projects, the partners said.

The entities expect that this partnership will enable developers to integrate embedded vision into their devices with a plug-and play efficiency for the rapid development of embedded vision and AI projects. The companies are actively engaged in collaboration on the development of new products and solutions.

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Published: November 2023

Glossary

embedded vision: Embedded vision refers to the integration of computer vision technologies into various embedded systems, devices, or machines. Computer vision involves teaching machines to interpret and understand visual information from the world, much like human vision. Embedded vision takes this concept and applies it to systems where the processing occurs locally within the device, as opposed to relying on external servers or cloud-based services. Key components of embedded vision systems include: ...
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...

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