Saki Discusses Industry 4.0 and True 3D Technology


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Quintin Armstrong, general manager for North America Sales and Service at Saki America, speaks to SMT Magazine about the Industry 4.0 strategy for inspection equipment providers. He also talks about why manufacturers are finding it more and more relevant to have an inspection line in their assembly lines now.

Stephen Las Marias: For starters, Quintin, tell us more about Saki.

Quintin Armstrong: Saki is a Japanese company that has been in business for about 23 years now. In the AOI realm, Saki got their start developing the line-scan 2D technology, and that became the benchmark for 2D systems back in the early days of AOI. In more recent times, we’ve been involved in X-ray equipment. Saki has a full line of automated X-ray inspection equipment and, with the onset of 3D technology, Saki not only developed one of the first 3D AOI machines, but also developed a 3D SPI, utilizing the very same technology that Saki uses in the 3D AOI machines. That brings us up to the point where, now, when we look at Saki's lineup, we have all the 2D legacy equipment plus the full 3D lineup, SPI, AOI and X-ray.

Las Marias: What can you say about the Industry 4.0 trend? Do you think people are ready for it?

Armstrong: Of course, that's the current topic. We've seen some of these initiatives come up in the past and probably we never totally followed on through, but we do have a new situation too with the internet being so prominent. The Internet of Things, I think is a real trend. Now, it's figuring out exactly what we can and will do with it, and how to go about that. There's a lot of activity going on with the machine connectivity, the hand shaking, feed forward, feedback, SPI to printer, SPI to placement, AOI to placement, etc. There certainly is some good potential there, but I think there's still a lot to be defined as to where it's going to go.

Las Marias: What do you think are the challenges?

Armstrong: Well, one of the things is to have a standard for the information we exchange, the format of that information, and the avenue for channeling that information from one equipment supplier to another. Another thing that's very important is having data that is actually usable and actionable. It's one thing to transmit data, but you need to have some kind of useful data. So, things like accuracy come into question with the AOI inspection. Are you able to generate data that is accurate enough to actually provide some useful actionable resolve in the mating equipment?

And this is something that Saki has had a great deal of success in. Mainly because since the very first machines that Saki made, they've always been not only inspection but measurement equipment. So that measurement aspect has always been very important for Saki, for say, carrying down through the development of the 3D line up. Now, we see that being a nice benefit for us as things develop into this interconnectivity and Industry 4.0, smart factory.

Saki has the SPI and the AOI equipment and X-ray, all of that can provide feedback data to feed the process with the mating equipment and to trigger the mating equipment to make adjustments, correct placements, based on the data that's measured and fed back. Saki is working with several of the major suppliers, both with pick-and-place equipment and screen printers. A good amount of this is already done, and we're continuing to work with some of the other big players and pursue more to be able to reach out to all the major pieces of equipment in the line, and exchange useful data that can be used as we figure out just where all this is going to go.

We don't want to just limit ourselves or anybody else to just meeting up with certain suppliers, and there's a wide variety of equipment out there and a wide mix of how that equipment is mated together. It's important to be able to reach out to the entire market and be able to provide our solutions to the entire market and to work with the wide variety of suppliers.

Las Marias: Are there standards now being developed towards that goal?

Armstrong: Well, let's say there’s at least talk about the need for that. I guess it's not really clear yet just where we are with establishing those standards, but the need is identified and thought and action being taken in that regard.

Las Marias: In the AOI space, what specific developments are happening that are geared towards supporting customers toward that trend?

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Quintin Armstrong

Armstrong: Certainly, the connectivity aspect is very important, but what you're able to communicate through this connectivity is extremely important, and that's one of the things that's become very apparent as we move through the process. What kind of data and how accurate is your data? That determines how useful it's going to be, not only to the customer but in the production line itself.

If you can't give accurate data to a pick-and-place machine to make it into some kind of a meaningful correction, or the same with SPI to printer and so on, then you really don't have anything useful to work with. These needs became apparent and identified and fortunately, in our case with Saki, we're in very good position with that.

We have very accurate data to be able to communicate with the other machines, and that gave us a good step in the right direction right from the beginning, instead of finding out that maybe there was something we needed to correct before we'd be able to provide some accurate feedback. It's a benefit at that point.

Las Marias: What opportunities are you seeing in the market right now?

Armstrong: Certainly, this is an ongoing process. It's in its infancy stages and just starting out. So there's a lot of work to do in this. Having said a few sentences about what it's all about doesn't at all reflect the amount of activity that goes into it. One thing that you would hear most people express is figuring out now just exactly where we go with all this. How do we make it as useful as it can be? It's a lot of talk about collecting a lot of data, but not necessarily a lot of definition about what we can do with that data right now. So that's something that's ongoing and, of course, with so many suppliers with so many types of equipment, it's quite a lengthy process just to establish all of that type of interconnectivity and data feedback.

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