Absolute Measurement, Part 2: Verifying the results
May 20, 2020 10:46:12 AM
In my last blog post, we introduced the concept of Absolute Measurement and CAD programming the Mapvision Quality Gate visual inspection system. Before we get to the results with real production parts, we need to verify that the measured coordinates really are absolute. How did we do that? Read on to find out.
Testing by VDI 2634-1 recommendation
To prove the Mapvision Quality Gate measured coordinates are in fact absolute, a verification method must be introduced. The VDI 2634-1 recommendation is the one best suited for camera-based measuring system verification.
A simulator component has been developed to automate the selection of seven distinct measuring artefact positions for every pairing of Mapvision Quality Gate and the measured part(s), following the VDI guidelines. The simulator selected positions are then recreated in the real environment using an AR-enhanced process involving a mechanical portal fixture with degrees of freedom limited to that of the simulated world to minimize operator influence.
Measured distance combinations between the targets on the artefact are then compared to ground truth values known with a maximum of 5.8 µm uncertainty. The combination of simulation tools and flexible mechanics allows the absolute accuracy verification method to be implemented in negligible time as a part of the delivery process of every Mapvision Quality Gate.
A thorough test procedure like this is only required one time at Mapvision premises before shipping the unit. It practically verifies the design of the sensor configuration, which does not fundamentally change over the lifetime of the system.
The images below show the artefact positions that were automatically selected in a VDI 2634-1 compliant simulation for a door part.
Figure 1:The seven positions of the VDI artefact selected by simulation.
Preliminary results from the VDI artefact testing
Testing with the door part, the results indicate that the absolute accuracy of the tested Mapvision Quality Gate does not have significant bias (-0.014 mm). The standard deviation of the distribution of errors is 0.028 mm, which implies the error falls under 0.1 mm with 99.7% confidence (±3σ). The maximum error in the dataset was 0.089 mm and the average correlation to the CMM values was 0.032 mm.
It was also apparent from the data set that the length measuring error does not increase along with the tested length, as is the case with robots and other mechanical measuring solutions. This is a very promising aspect for the Mapvision Quality Gate to scale the absolute measuring capability to parts of different shapes and sizes.
Figure 2 shows the distribution of the errors and a summary of the distribution parameters.
Figure 2: Length measuring error distribution with the VDI 2634-1 artefact configured to the door part.
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.