VDMA: Embedded Vision conquering the embedded world

“Migration from PC to Embedded & from Embedded to Vision” was the topic at the VDMA panel discussion during the embedded vision fair in Nuremburg on 28 February 2018. According to the panel participants, Embedded Vision is a promising mega trend.


In recent years, machine vision technology has become an integral part of industrial automation. However, for everyday applications it is frequently too expensive. At present, this situation is going through a highly dynamic change: “Embedded Vision has the potential to reduce the costs of vision systems dramatically. This technology could truly enable machines in our everyday live to see,” Arndt Bake, Chief Marketing Officer at Basler AG pointed out during the VDMA panel discussion in Nuremburg.

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Dr. Olaf Munkelt, Managing Director at MVTec Software GmbH, is also convinced of the potential of Embedded Vision: “Today’s embedded platforms are an inexpensive, compact and energy-saving alternative for PC-based systems for entire classes of machine vision applications. From a user’s point of view, in particular outlay for transition and/or integration, must be kept low. Standard software for embedded vision makes a decisive contribution if their complete key features are made available and transparent on PC-based systems as well as embedded vision platforms. Thus, opportunity costs can be avoided, and development times reduced.”

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As Embedded Vision systems are based on very powerful computer platforms with low energy requirements they can be used in many new fields of application which have so far not been covered either by PC-based or by intelligent machine vision systems.  The success already noticeable today results from the fact that that a series of internationally leading hardware manufacturers have recognised the potential and developed corresponding products. Processors with integrated, optimised computing performance for machine vision algorithms, image sensors specifically designed for embedded applications and specially adapted camera modules are only some of the hardware elements currently driving the success of Embedded Vision systems.

Availability of high-performance hard- and software at competitive prices and growing users’ knowhow will clearly accelerate the application of Embedded Vision systems in the near future, is the conclusion of the discussion.