Programming Mapvision Quality Gate with CAD referencing
Jul 3, 2020 12:55:49 PM
We continue our blog series about Absolute Measurement a.k.a. CAD referencing or CAD programming. You can read the earlier posts from this same blog: Mapvision Quality Gate Goes Absolute and Absolute Measurement, Part 2. After the good results with the VDI artefact in Part 2 of this series, we continued to testing with real parts.
But before going to the results, let's take a look at how simple and fast it is to program the Mapvision Quality Gate inspection system with CAD referencing.
This is all you need: Mapvision Editor Suite + a 3D CAD model of the inspected part + rendered 2D reference images of the CAD model within the simulated Mapvision Quality Gate.
You simply define the features you would like to measure on top of the 3D CAD model along with the tolerances.
After that, the simulator automation will generate the machine vision programming for you.
Then you just swap in the rendered reference images as the last step.
New features can be added in this manner in 10 minutes or so. And full variants in about 40 minutes. This really is pick and deploy!
This new level of programming speed is possible with the system setup where we use a 3D CAD model of the part we want to inspect in a simulated Mapvision Quality Gate. (Naturally, the 3D CAD models should be up-to-date to take advantage of this new kind of work flow.)
Ok. That is the setup. Come back in August to see the results we got in our testing with real car parts.
For more about Mapvision Absolute Measurement and links to the other posts in this blog series, please visit our Mapvision Absolute Measurement solution page.
Kosti Kannas is in charge of our product development as our CTO. He has over 10 years of experience developing and delivering for the automotive industry. With his roots in automation technology and sustainability topics, he is set to disrupt the manufacturing world with new levels of flexibility and agility in in-line measuring. Interested in all things related to tying the simulated and the real world together.