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OPC UA VISION PART 1 RELEASED AT AUTOMATICA BY DR REINHARD HEISTER, VDMA ROBOTICS AND AUTOMATION
At Automatica 2018, VDMA Machine Vision published the release candidate of OPC UA Vision part 1, a 146-page document, jointly developed in only two years by 20 key players from the European machine vision industry, and backed by the international community through G3.
Connected to the publication of the OPC UA companion specification at Automatica was an OPC UA demonstrator, developed by the VDMA Robotics and Automation association, together with 26 partners from the European automation community. The demonstrator showed the potential of this new communication approach in a concrete and understandable way: interoperable, vendor-independent and skill-based. The OPC UA companion specification for
machine vision – in short OPC UA Vision – provides a generic model for all machine vision systems, from simple vision sensors to complex inspection systems. Put simply, it defines the essence of a machine vision system. The scope is not only to complement or substitute existing interfaces between a machine vision system and its process environment by using OPC UA, but rather to create non-existing horizontal and vertical integration abilities to communicate relevant data to other authorised process participants, right up to the IT enterprise level. It is possible to have a gradual phase-in of
OPC UA Vision with coexisting interfaces. The benefits are a shorter time to market through simplified integration, a generic applicability and scalability, and an improved customer perception thanks to defined and consistent semantics. OPC UA enables machine vision to speak to the whole factory.
Fundamentals A machine vision system is any complex vision system, smart camera, vision sensor or even any other component that has the capability to
record and process digital images or video streams for the shop floor or other industrial markets, typically with the aim of extracting information from this data. With respect to a specific machine vision task, the output of a machine vision system can be raw or pre-processed images, or any image-based measurements, inspection results, process control data, robot guidance data, or other information. The basic concept of OPC UA Vision is a subdivision into several parts. Part 1 includes the basic specification and describes an infrastructure layer that provides basic services in a generic way. In part 2, a machine vision skill layer is addressed which provides more specific machine vision services. Part 1, published as release candidate in
June 2018, describes the infrastructure layer which is an abstraction of the generic machine vision system. It allows the control of a machine vision system in a generalised way, abstracting the necessary behaviour via a state machine concept. It handles the management of recipes, configurations and results in a standardised way, whereas the contents stay vendor-specific and are treated as black boxes. In future parts, the generic basic information model will shift to a more specific skill-based information model. Machine vision skills could include presence detection, completeness inspection, and pose detection, to name a few. For this purpose, the proprietary input and output data black boxes will be broken down and substituted with standardised information structures and semantics.O
Please contact
opcua@vdma.org for a copy of the draft standard and let the VDMA working group know your opinion. Standardisation only works when the community joins forces.
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