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Image processing

Peter Stiefenhöfer | Inka Krischke,

The status quo of OPC UA Vision

With the publication of the OPC UA Companion Specification for industrial image processing, Industry 4.0 is now also becoming a reality for this sector. An overview.

© Isra Vision

Dr. Horst Heinol-Heikkinen, Chairman of the 'VDMA OPC Vision Initiative': "The OPC UA Companion Specifications for robotics and industrial image processing are milestones on the way to interoperability and Industry 4.0."

© Asentics

Dr. Horst Heinol-Heikkinen described the publication of the OPC UA Companion Specifications for robotics and industrial image processing during 'automatica 2018' in Munich as a "milestone in enabling machines in the smart factory of the future to speak the same language". The Chairman of the 'VDMA OPC Vision Initiative' is convinced that interoperability is the key to differentiating products in a networked Industry 4.0 world. The designated OPC UA standard is intended to serve as a basis for communication and enable platform-independent, interoperable and manufacturer-independent collaboration between different machines and systems in production.

OPC UA paves the way to Industry 4.0

OPC UA stands for 'Open Platform Communication Unified Architecture'. In times of rapidly growing requirements for networked, flexible production in the sense of Industry 4.0, this open, Ethernet-based standard represents a solution for communication and data exchange that is supported by almost all relevant automation manufacturers. The list of companies promoting OPC UA activities is long: the more than 600 members of the OPC Foundation include companies from the international automation industry such as ABB Automation, B&R Industrial Automation, Bosch Rexroth, Festo, Honeywell, IBM, KUKA, Microsoft, National Instruments, Omron, Schneider Electric, Sick, Siemens and Yokogawa Electric.

The VDMA, a full corporate member of the OPC Foundation since March 2018, has also been heavily involved in OPC UA activities. A year earlier, the VDMA had already set up its own cross-industry 'Interoperability Advisory Board' to coordinate its OPC UA activities.

However, the OPC UA approach is not entirely new: the first version was published at the end of 2006 and has been continuously expanded ever since. The OPC UA Companion Specifications for robotics and industrial image processing therefore represent the extensions for two important automation areas.

OPC UA defines the transport of data as well as interfaces, security mechanisms and the semantic structure of the data. Examples of such machine data include sensor data, measured values or control instructions that occur within a production plant and are exchanged both between the machines and with higher-level systems.

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Specification for image processing

In order to integrate image processing technology, which is very important for Industry 4.0, into OPC UA efforts, the VDMA signed a memorandum of understanding in June 2016 for the development of its own OPC UA Companion Specification for image processing, or OPC UA Vision for short. Two years later, it has now been completed and published. The main aim of this activity was to simplify the integration of image processing technology into automation landscapes and, for example, to enable a faster and more effective connection of vision systems to production control and IT systems as well as to robots and other automation equipment.

OPC UA Vision expands the possibilities of information exchange between image processing systems as well as between image processing and machine control, line controllers, software systems or to SCADA, MES and ERP systems.

© Asentics

According to Dr. Heinol-Heikkinen, the Companion Specification is more than just an ordinary interface: "As a digital representation of a vision system, OPC UA Vision defines all the properties and characteristics of vision systems. Accordingly, it is not just about data and a data interface, but rather about information, i.e. the interpretation and meaning of data. This is mapped in a so-called data model for image processing systems. According to this model, information becomes the structural properties of a vision system and is the first component of the Companion Specification."

OPC UA Vision consists of two essential elements: the 'state machine' and the information model.

© Asentics

The data model was initially kept very 'simple' and general in order to cover the variety of existing image processing systems and their applications. It describes the standardized management of recipes, configurations and results. These three central management objects themselves and the methodical handling of them are obligatory, whereby the contents of these objects remain manufacturer-specific and are treated as black boxes. Although this generic description of the information model is still somewhat 'fuzzy', it also offers an important advantage: it forms a common bracket around the multitude of different existing systems and covers all common products in monochrome and color, from the vision sensor to the intelligent camera to the complex inspection system, from the line scan camera to area scan cameras to the 3D camera. Even the light barrier, which can be regarded as an image processing system with just one pixel, is covered.

However, as not all of the model's information about a vision system is of interest or actually available at all times, there is a second key component of OPC UA Vision: the state machine. This abstracts the behavior of image processing systems, i.e. the possible operating states and state transitions of an image processing system are mapped on an abstract state model with a fixed number of states. This means that every interaction with the image processing system and the associated concrete access to information in the information model is also dependent on the respective state of this model. The information model in conjunction with the state model thus forms the digital representation of any image processing system.

Image processing users benefit

The scope of OPC UA Vision is not only to supplement or replace existing interfaces between vision systems and the process environment with OPC UA, but also to create non-existent horizontal and vertical integration capabilities to exchange relevant data with other authorized process participants - such as the IT enterprise level. To this end, the OPC UA vision interface enables the transfer of information between different vision systems as well as the transfer of information between vision and machine control, line controllers or any software systems at the control level as well as at the higher level of MES, SCADA or ERP systems.

The added value of OPC UA generally lies in the platform- and manufacturer-independent networking of automation components. All systems used should communicate with each other in a simple, standardized and secure manner, and OPC UA Vision also meets this requirement. For users, this means faster development of machine vision systems as well as simplified configuration and integration into existing automation systems. As sensor technology and image processing are among the most important sources of information in modern Industry 4.0 production systems, OPC UA Vision is a crucial building block on the way to more efficient production.

Karlheinz Hohm, Vice President R&D Industrial Automation at Isra Vision, shares this view: "The simplified integration of image processing into automation makes production processes more efficient and at the same time more flexible. In particular, expert knowledge is no longer required for integration and use, so users can automate their production quickly and easily themselves."

In view of these obvious advantages, it is not surprising that OPC UA Vision is strongly supported by the industry. Karlheinz Hohm, for example, sees the current developments as a positive approach towards a general, manufacturer-independent interface. "We attach particular importance to the activities in the area of OPC UA Vision, as this simplifies the integration of image processing systems for users and thus opens up further fields for their use and further automation." Isra Vision was consequently actively involved in the 'Core Working Group' of the 'VDMA OPC UA Vision Initiative' in the development of the 'OPC UA Vision Companion Specification'.

Expansion plans

The definitions described in Part 1 of OPC UA Vision are aimed at the basic capabilities of the system and not at the image processing capabilities, i.e. not at the application software that distinguishes, for example, a code reading system from a surface inspection system or a robot vision solution. In Dr. Heinol-Heikkinen's opinion, the next step is certainly to describe this level, i.e. to create a terminology and taxonomy, in order to map it in capability-based information models: "For me personally, this would be a goal worth striving for, which would help machine vision to further expand its product status."

According to Dr. Heinol-Heikkinen, with the publication of OPC UA Vision, "a start has now been made and an umbrella has been built under which many different systems can stand. Sharpening the description is one facet that will certainly follow."

Author:
Peter Stiefenhöfer is the owner of PS Marcom Services in Olching.

The 'OPC UA Vision' working group

The companies Asentics, Bosch, Isra Vision, Kuka, Peer Group, SAC, Silicon Software, Stemmer Imaging, Unified Automation and Vitronic were involved in the definition of 'OPC UA Vision'. This 'Core Working Group' held intensive working meetings at the VDMA in Frankfurt over a period of around 18 months and also held numerous web meetings. The entire working group, known as the 'Total Working Group', consisted of around 60 members. There were three joint meetings within the 15-month working period.

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