Nahum: I think what would benefit some of these smaller companies is the ease of use. And for them, of course, it’s a cost factor. So I completely agree that they might be the ones that would benefit the most by adopting these systems.

What do you have to consider in order to use the full potential of the systems?

Mann: You have to make sure the data you acquire has a high quality and you are confident that, no matter where it’s acquired, it’s reliable and it’s sorted in the right way and it’s connected to each other.

Nahum: When we talk about these systems we might think about vision systems or CMMs first, sophisticated equipment. But I think this also applies to hand tools, calipers, micrometers or indicators. They collect data as well and they are being automated. So I think those are also part of the whole system and should be considered.

What is your view on AI for metrology? What are the benefits compared to rule based approaches?

Mann: I think we will have a great advantage in data acquisition on the one hand, so making data more reliable, even if it’s acquired in a very fast way or in a harsh environment. On the other hand It will make it possible to have a faster processing later on.

Modrich: It must be clear what these algorithms are doing for us. And if they are making the right decisions based on the things that they just learned? From my perspective if you want to implement such kind of tools into a production line, you have to do it step by step. If humans and AI systems at the end of the chain are learning from each other, then we can use it in a way that it makes sense.

Nahum: I think AI will really transform our business, no question about it. But it might be in ways we might not expect. For example, AI is really a black box and if someone is relying on the measurement results and rule based approaches, he will hesitate to accept AI based results. On the other hand, I think AI can really make our customers lives easier. I think that on the periphery is where AI will shine. But the actual measurement data, I think it’s going to be quite some time before we let AI take control of that.

Do you think simulation or augmented reality will be important for the metrology in the near future?

Modrich: I think augmented reality will be helpful for the commissioning of metrology systems. It’s always a challenge to properly set up the systems in fully automated production lines. If you have now the possibility to use augmented reality and simulation in the commission phase as efficient digital tools that will help a lot in a first step.

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