All about Embedded Vision technology

European embedded vision strengths made visible

Struharik also made an important point as a European representative presenting a radical new solution at IDS by adapting the app principle to industrial image processing though so-called vision apps. Another truly European contribution was the lecture given by Dr. Konstantin Schauwecker from Nerian Vision showing that stereo vision is a compelling technology for 3D depth sensing and FPGAs make stereo vision usable for embedded use cases. His presented work also proves that vivid interaction between academic research and start-up entrepreneurship in Europe can lead to prosperous products which have all chances to find their market place.

A practical speech was given by Gion-Pitschen Gross from Allied Vision, another European player, who focused on the requirements, components and solutions to set up an embedded vision system. He pointed out that the overall system design of an embedded vision system is highly dependent on the use case and many different skillsets are involved. In his conclusion he noted that despite the attractiveness of embedded vision systems, on many occasions the design costs of an industrial embedded vision system are still higher than of a PC-based system put together mainly from off-the shelf products; and their integration efforts are often underestimated which quickly can eat up the predicted ROI.

Andrea Dunbar from the Swiss research center CSEM informed the audience about a project that achieved to develop a coin-size 3mm thick fully autonomous camera which is deployable like a sticker. It uses an ultra-low power image sensor consuming less than 1mW that is even able to perform custom image processing such as motion detection.

In his closing remarks Dr. Chris Yates stated that AI and computational neural networks have become a dominant topic which will be here to stay. While technological limits have been driven further and further recently the current challenge would be to put a focus on ease of deployment and thus abstracting the complexity of the products that find their way into machine vision applications. For this, he pointed out; further cooperation amongst small and big players would be needed.

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1. All about Embedded Vision technology
2. European embedded vision strengths made visible