SOFTWARE
Design Assistant with its flowchart- based approach, where all the aforementioned tasks are set up within the one IDE and only a basic grasp of computer programming concepts [is needed].’ As well as those with little or no
programming knowledge, even vision professionals such as system integrators simply lack the time for complex programming, noted Daus, and extensive programming would only make their solutions more expensive. A plant engineer, for example, can justify using machine vision at more places in the manufacturing process when it is quick and easy to apply. ‘Today’s intuitive machine vision
soſtware addresses well-defined applications, such as measuring part diameters, detecting certain flaws, and reading barcodes. As we wrap more machine vision- specific knowledge into easy-to-use interfaces, users will be able to do more complex applications,’ Dawson said. ‘I expect more domain
knowledge will be incorporated into machine vision soſtware, enabling users to solve ever more complex vision problems,’ he continued. ‘Presenting this “expert system” in a simple user interface is important, but a major challenge. For example, we know what scratch defects look like but how do you incorporate the knowledge of what scratches look like in the machine, and how would users interact with the machine to apply that knowledge? Te ideal interface would be similar to instructing a human worker on what measures to take, what defects to note, etc. and having the machine vision system generalise the instructions to make a solution.’ In order to broaden the use of
industrial imaging, one important aspect is the development of standards that allow programmable logic controller (PLC) and machine vision technology to integrate, Daus commented. Many machine vision soſtware development tools cover only the vision part and do
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not support the user with a PLC or the creation of a front-end for the operator on the factory floor. ‘Developing a machine vision application oſten requires using and becoming familiar with several different tools,’ he said. ‘An all-in- one approach is more efficient, for example, by enabling the development of front-end GUIs and
a seamless PLC integration within one single tool.’ Advances in hardware,
miniaturisation and mobile devices will all be part of the factories of the future, Daus believes, and the ability of engineers to make the most of vision soſtware tools without having to write complicated code will advance automation solutions.
‘As machine vision soſtware
gets smarter and easier to use, it makes automating manufacturing tasks such as quality control, robot guidance, and track-and-trace easier,’ commented Teledyne Dalsa’s Dawson. ‘More importantly, it reduces the cost and risk compared with programming custom machine vision soſtware.’ O
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April/May 2015 • Imaging and Machine Vision Europe 15
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