Vision Podcast #13 – Better Machine Vision w/ Zebra Technologies

MVPro Media – The Vision Podcast #13
Guest: Charlie Long, Senior Director of Machine Vision & Factory Automation, Zebra Technologies

Zebra Technologies is making a serious push in machine vision. In this episode, Charlie Long shares how Zebra’s portfolio spans from high-speed scan tunnels and fixed industrial scanning to 3D (Photoneo 3S, AltiZ), AI-assisted setup, and end-to-end components like frame grabbers and cameras. We cover what “better machine vision” really looks like on the factory floor, why 3D and AI are central to the roadmap, and what to watch as we head into 2026.

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“We’ve got plans to do some things nobody’s seen yet, so keep an eye out for those.” — Charlie Long

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Episode sections

• podcast
• guest information
• episode chapters
• episode transcript

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Listen to the Episode

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About our guest

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Podcast Chapters

Click on a chapter to jump to the corresponding transcript section below.

1. Intro & Charlie’s Path to Zebra – Josh introduces Charlie; Air Force background, Keyence years, and why he joined Zebra’s accelerating vision push.
2. Early Hands-On Wins – A nerve-wracking web inspection demo that (thankfully) worked—and what those lessons mean in real deployments.
3. Why Manufacturers Are Doubling Down on Vision – Takeaways from Zebra & Oxford Economics: complexity, speed, accuracy, and where AI + 3D fit.
4. Defining “Intelligent” at Zebra – Inside Zebra’s Intelligent Automation group (RFID, machine vision, robotics) and enabling the frontline worker.
5. AI Where It Actually Helps – Synthetic data, simple classification, damage detection; making vision easier than rules-based setups.
6. Fixed Industrial Scanning Line-Up – FS10/20/42/80 plus NS42 “bridge” vision sensor; handheld integration and hands-free workflows.
7. 3D Focus: Photoneo 3S & AltiZ – Multi-head structured light without interference, built-in path planning for bin-picking, and dual-receiver laser profiling.
8. Beyond Devices: End-to-End Portfolio – From barcode reading to 8-channel CXP frame grabbers, cameras, and OEM/custom builds.
9. What’s Next & Where to Meet Zebra – More software and AI releases, new hardware, and presence at Automate, IMTS—and more “feet on the street.”

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Episode Transcript

[00:00:00.080]  

We’ve got plans in the future to do some things nobody’s seen yet, so keep an eye out for those. 

[00:00:05.760] – Josh Eastburn 

Welcome to the MVPro Podcast. That was the voice of Charlie Long, Senior Director of Machine Vision and Factory Automation at Zebra Technologies. Charlie joined Zebra in January 2025 with nearly 20 years of experience in factory automation and machine vision technologies. Before starting his career in factory automation, Charlie spent 10 years in the United States Air Force, where he developed a strong foundation in leadership, discipline, and technical expertise. Charlie holds an MBA in Finance from Fayetteville State University, Bachelor of Science in Management from Mount Olive University, and an Associate Degree in Aircraft Maintenance Technology. This diverse educational background combined with his military and professional experience has equipped him with a unique blend of technical, financial, and managerial skills that shape his leadership style. Founded in 1969 as Data Specialties by Ed Kaplan and Gerhard Gary Kless, Zebra Technologies designs hardware, software, and automation solutions and services for the frontline. From retail to healthcare to manufacturing to logistics and beyond, and claims the title of market leader in rugged mobile computing, barcode scanning, RFID readers, thermal printing and retail task management software. Crunchbase describes Zebra Technologies as a global leader in real-time location services technology. Zebra’s extensive portfolio of solutions gives real-time visibility into everything from products and physical assets to people, providing very precise operational data not only about where things are but what condition they’re in. 

[00:01:25.220] – Josh Eastburn 

This allows business leaders to use data to make better, more informed decisions, respond in real time, and ultimately help businesses understand how they work and how they could work better. In the early 2020s, Zebra has made a series of strategic investments to strengthen its automation portfolio, and Zebra today says it provides a foundation for intelligent operations through connected frontline, asset visibility, and automation solutions. Now, please enjoy my conversation with Charlie Long. I was pretty excited to look at your LinkedIn and see that you were with Keyence for a long time. Again, feel free to skip any of these questions if you’re like, Josh, you’re being a jerk, don’t make me talk about my former employers. But so when I came in as an automation engineer, a few of the like division brands that, you know, popped up kind of on my radar, first of all, Cognex, Keyence, Zebra. So I’m interested. You had such a long run there. If you don’t mind, tell me a little bit about your background there. 

[00:02:26.010] – Charlie Long 

Absolutely. I was at Keyence for almost 17 years. I started off in machine vision sales there. That’s where I cut my teeth in factory automation. And you’re right, Zebras are key. It’s the number one player in some markets and certainly number two worldwide when it comes to machine vision and learned a lot there, grew a lot, made a lot of friends. Ultimately, Zebra presented a real opportunity to jump into a start-up level environment from building the brand on the machine vision side of things, but with the power of a $5 billion plus organization behind it. And Zebra’s made a lot of acquisitions. They were really interesting and they had some on the horizon, like the Photoneo acquisition that we made earlier this year. They gave me a chance to play globally and see how it interacts in different markets and different economies. So just nothing going away from it, Keyence, it wasn’t running from anything, but definitely jumping into a big opportunity as Zebra. 

[00:03:29.570] – Josh Eastburn 

We always say that automation is pretty promiscuous market. Eventually everybody visits everybody else. Yeah, I think that makes sense and I’m sure you’re bringing a lot to it. And I’d like to understand a little bit about that too, being that this podcast is about machine vision. I always want to understand kind of what’s the pedigree or what’s the exposure that you’ve had. So coming from, it sounds like primarily the sales side. Was Keyence your introduction? Did it go back further? I saw you were in Air Force. Sometimes people are bringing some experience from that as well. Are those separate things? 

[00:04:05.550] – Charlie Long 

Sure. Yeah, definitely. I mean, a little bit separate unless you look at what builds your tech pedigree in that case, right? So I was in the Air Force for 10 years, aircraft mechanic. Before that, I worked on high voltage RF systems and VBN radio. 

[00:04:21.540] – Josh Eastburn 

There it is, right? 

[00:04:22.740] – Charlie Long 

I have a undergrad in management and MBA in finance. And I guess you smash all that together. 

[00:04:29.380] – Josh Eastburn 

Yeah. 

[00:04:30.100] – Charlie Long 

The perfect guy to be in factory automation. So it’s an interesting genre. You mentioned it earlier, those of us that are in factory automation run into people all over the place, especially a world as small as machine vision. But it’s, you know, you catch the bug. Honestly, in 2008, when I started at Keyence, I’d never seen or heard of a machine vision system before it seemed like science fiction. And if you told somebody what we can do now with machine vision compared to where we were at 20 years ago, it seemed like science fiction as well. So it’s engaging. It makes you want to stay with it, I guess. 

[00:05:03.180] – Josh Eastburn 

Awesome. Tell me, speaking of science fiction, what’s an application that you’ve seen that you’ve supported that maybe has stayed with you? What’s a favorite from what you’ve seen so far? 

[00:05:17.370] – Charlie Long 

There’s a lot out there, right. That you go down memory lane and start to think about those. Some of the most interesting ones I did are maybe some wide format stuff on webs. You know, you only do that because there’s so much diversity in what can show up. And, you know, I’ve gotten the experience of both selling and setting up machine vision over time. So I was on a line setting up, an array of area scan cameras to inspect the web because they didn’t have access to line scan at the time. And I’d done everything the way it was supposed to go. Everything should have worked just fine. And of course, the customer decided to test me and goes down the line and pours a pepper packet on the line to see if it’ll pick up those defects. And I was defects that were considerably larger. And of course, we’re both standing there watching it. He’s thinking it’s going to work just fine. And I’m looking for the nearest exit. And it went great. It pulls eyes on the defects. And we ended up selling a lot more similar tools on the rest of their lines for extruded polycarbonate. 

[00:06:22.280] – Charlie Long 

And it was a lot of fun, but it was definitely one of those nerve-wracking moments in machine vision where the scope creep gets you right in the face. 

[00:06:29.080] – Josh Eastburn 

100%, man. Yeah. Demo is like the worst time. You’re so confident before. And then that demo moment comes, you’re like, oh, I just know something’s gonna go wrong. 

[00:06:39.380] – Charlie Long 

Exactly. 

[00:06:39.940] – Josh Eastburn 

Well, that’s super cool. So, yeah, so you have been hands on with a lot of this too. That’s fantastic. So I’m really excited for what’s going to come out in this conversation. But I wanted to talk about Zebra. You’re with Zebra now and I understand pretty recently, is that right? 

[00:06:54.740] – Charlie Long 

It is recent. Yeah, I joined Zebra at the beginning of this year. 

[00:06:57.460] – Josh Eastburn 

Okay. And Zebra, it seems like just even based on what you said and what Michael and I were discussing previous to our conversation, Sounds like Zebra is really investing a lot in developing its machine vision portfolio. I saw that there was a bunch of research published together with Oxford Economics about where the industry is going. And that’s always a perspective that we’re interested in sharing with the community through the podcast here. What are some of the big takeaways about machine vision that you got out of that research? 

[00:07:27.600] – Charlie Long 

Yeah, I mean, that was the impact of intelligent operations study. That we did with Oxford. And ultimately it confirms where we feel like the industry is going, that manufacturers are relying more on machine vision technology as an overwhelming amount of manufacturers in several different sectors are looking at machine vision as their next step in automation, right. So especially relying on more advanced machine vision capabilities, which is where Zebras continue to invest. And expanding our capabilities as the market grows. So it’s interesting. We’ve been using cameras a long time, everything from simple vision sensors to stuff that was pixel counting 20 years ago. And we thought we had it all figured out, but the study just shows that the demand is getting bigger, right. The faith in the technology is getting stronger and we’ve got to grow with it. So that’s encouraging based on the investment that Zebra is making. 

[00:08:25.530] – Josh Eastburn 

Good time to be jumping in. Before we kind of move forward, because I feel like this is probably going to be a theme. Does Zebra have a particular definition when you talk about intelligence? I know some people talk about, you know, they make a distinction between smart cameras and smart sensors and what are the different types of smarts that are kind of in your product lines? Yeah. Do you have a particular way of defining that? 

[00:08:48.080] – Charlie Long 

I don’t know if we have a particular way of defining intelligence, right? We have broken out an intelligent automation group inside of Zebra that focuses on a few different key pillars. Of technology, right. We’ve got RFID, machine vision and robotics inside of our intelligent automation team. But if you look at what all of the intelligent automation groups are trying to do is we’re trying to enable the frontline worker, right. We’re trying to get information to people more quickly. If you look at Zebra as a historically, right, Zebra has been in the game of adapting and delivering information for 50 years. Right. And most that’s been through barcode reading or printing, right. So this is just a, we’re gathering additional information that’s not coming from bits and bytes of text as much as it’s coming from image acquisition and analysis, right. So anything we can do to improve performance or accuracy or, you know, help workers get their job done more effectively, that’s what we look at as intelligent systems. That are gonna provide that next step. 

[00:09:54.880] – Josh Eastburn 

And why do you think it is that, or maybe based on the research that you conducted, why is it that you think manufacturers are investing so heavily in machine vision? 

[00:10:07.440] – Charlie Long 

I think there’s several different reasons. One is the complexity of what we make and how we make it, right. So, I mean, everybody wants to make everything more intricate. More accurate and more quickly. And if you look at doing that, it’s not, you don’t live in the world where you can hand inspect every piece, or you can run your production line at 50% capacity. So if you’re gonna produce more complex products and try to do that more accurately, you need more insight. And that’s where machine vision comes in, because you can look at multiple stages in the process, you can evaluate in different spectrums of light, you can see detail that you can’t see with the eye, or doesn’t show up unless you can sub pixel process, right. So that’s where I think manufacturers are investing. They’re really manufacturers, logistics, transportation. Everybody’s investing in machine vision because it takes intelligence and combines it with eyesight, right. The decision making happens much faster. Even if you look at, we’re building out cloud-based deep learning, right. That’s a new initiative for us this year where you can take multiple nodes in an assembly or in an environment and combine those to build your AI models. 

[00:11:26.630] – Charlie Long 

Those nodes can be on-prem or multiple premises, right. So if you’ve got 100 factories in different places around the world making the same product, you can combine that learning from all of those locations into one model to make decisions for you and then deploy those inferences on your devices. So I think that The reason we’re seeing more of that investment is because we want to make things more quickly and accurately. And machine vision, especially 3D machine vision and the AI enabled machine vision are some of the only ways to do that. 

[00:11:57.410] – Josh Eastburn 

Fantastic. Tell me a little bit more then about how Zebra is positioning itself to compete with some of these incumbents in the machine vision industry. 

[00:12:07.330] – Charlie Long 

Yeah, absolutely. So if you look at Zebra, as I mentioned before, we’ve been in the the game of reading barcodes and handling data for a long time, right. So we’re very closely connected to a huge customer base that’s very loyal, right. So it’s, I’ve not been with the company before where people talk about, oh, I have a zebra, right. When they’re talking about the handheld that they have, right. If you’ve worked in retail, it’s as known as the other big smartphone brands, right. So at the same time, Zebra sees that we’re moving away from devices and hands, right. If you look at where automation is going and where logistics is going, it’s the less you have less and less hands to work with at the speeds that people want to move, right. So Zebra decided to grow through acquisition is where they started, right. So we started by developing a spin off of our standard handheld barcode reader technology to start to industrialize and ruggedized those products to make them good for hands-free applications where they can live in nastier environments or have to hold up considerably longer. And then started with acquisitions like the acquisition of Adaptive Vision to give us a better vision library. 

[00:13:23.510] – Charlie Long 

And then with the acquisition of Matrox Imaging to give us another vision library as well as a wide array of component level hardware. That allow us to solve pretty much any vision application. And then the most recent acquisition of Photoneo, where we acquired their 3D products as part of their company. So it’s over a billion dollars invested from the zebra perspective to drive more into that market as a real industry player. 

[00:13:53.840] – Josh Eastburn 

Okay, that’s pretty significant. Wow. Yeah. And I got to meet Photoneo at Automate. I was really impressed by what they had on display. And just, I think the the demos that Zebra had going on at the time, the whole showing was pretty impressive, including things like the high speed scanning tunnel solutions. That was really fun. Just talking about what kind of impact that makes to be able to move product and detect accurately. I can’t remember what speeds you were talking about. Maybe you do. But does that all falls under your sort of your purview then, your responsibility? 

[00:14:30.220] – Charlie Long 

It does. It all falls under my business unit and my responsibility. So if you look at the scan tunnel that you saw in the Photoneo booth, I think at Automate we still had two separate booths at the time because the booth selections were made pre-acquisition. But inside of the scan tunnel, we also had the Photoneo product. And that’s really what we’re trying to do in the scan tunnel world, if you will. So a scan tunnel that can read barcodes, that’s not unique. So what we can do is read barcodes at a much higher speed because of the decoding algorithms that we have. That’s something that, you know, we can’t say it enough. Zebras been reading barcodes for a long time, so we’ve got some really good decode algorithms to help customers improve the efficiency of just that piece of it, right. As far as a couple of points here and there and reading, read rate or read effectiveness will make a big difference in high speed production. As I mentioned, we’re gonna run a couple hundred meters a minute. If need be, right. so it’s 800 packages is no problem, and small gaps are no problem from the reading perspective. 

[00:15:34.780] – Charlie Long 

But then we also wanted to combine that with the 3D product from Photoneo to do dimensioning, right. The algorithms we brought in through both the adaptive vision purchase and the Matrox purchase to do AI and for bots damage and dangerous goods. Classification, right. Even package classification, is it a tote, a box, unconveyable, right. What is it that’s coming across the belt in front of you? So really working with our customers and our partners to drive into what everyone’s always wanted a scan tunnel to be, as opposed to something that just reads barcodes, we can get a lot spec and a lot more data collected. We ran a trial a couple of weeks ago, ran for two days and collected, you know, six terabytes of images. That the customer is using to train their models and have a much more effective AI inspection of packages as they pass through the tunnel. Wow. 

[00:16:34.760] – Josh Eastburn 

You’ve mentioned AI a few times. Is there a particular strategy or a philosophy about how you’re thinking about AI and starting to incorporate that? Or maybe it’s what you’ve mentioned, making strategic acquisitions around established AI technology to put together a bigger portfolio. I don’t know where I’m going with that, but feel free to give me some direction. 

[00:16:57.600] – Charlie Long 

No, absolutely. I mean, that’s where there’s a lot of buzz around AI right now. A lot of people are going to use AI in places they shouldn’t and fail. We know that’s coming, especially earlier adopters, God bless them. But we’re trying to take and put AI into where it makes the most sense. If we can use AI to generate synthetic data, for instance, which we’re already doing in our libraries, right. So you don’t have to feed as many bad parts in front of your model to train it, right. Or if we can use AI to run simple classification inferences and do damage detection, then we’re going to make it easier than using rules-based vision to do these kind of things, right. So that’s what we’ve primarily started building into our machine vision offering is making Vision more accessible. Right. We’ve got plans in the future to do some things nobody’s seen yet, so keep an eye out for those. Those will be very exciting. But right now, we’re just trying to make things better based on where you would normally use rules-based tools. How can we make it easier? 

[00:18:03.190] – Josh Eastburn 

Okay. Okay, cool. Let’s talk about maybe some of the key product lines that. That you feel like are core to this new Machine Vision offering fixed industrial scanning. I know is also an important part of this portfolio. 

[00:18:17.440] – Josh Eastburn 

Yeah. 

[00:18:18.240] – Josh Eastburn 

What should people be looking out for? 

[00:18:22.000] – Charlie Long 

Yeah I mean, if you look at the product lines, and we were attacking a couple different areas, obviously, fixed industrial scanning, you just mentioned, we’ll start there. We’ve put out a line of really rugged, easy to deploy FIS products, right, or Fixed Industrial Scanning products. We’ve got small, low-cost high-speed products, and we’ve got a little bit larger, a little bit more capable, a little bit higher speed, higher resolution products, if you need to cover a larger field of view and a larger depth of field. Right. So we’re trying to touch all the high pace pieces there to give people a solution where you can use the same software and run across a whole myriad of different applications. The other thing we’ve done is we’ve made our fixed industrial scanning product native and our handhelds. Right. So if you’re using a Zebra handheld, then you’ve already got that data collection point that you’re used to using, that your IT leadership is already signed off on. So you can take it and pair that with a fixed industrial scanner, and the information’s going the same place, right. So think your operator walks up to a pack bench, sets their handheld down at a cradle, and you’re automatically hands off on the pack bench and your overhead scanners doing all the work. 

[00:19:38.340] – Charlie Long 

So that’s what we’re trying to marry to our existing technology. But on the other side of that, 3D, I know you’ve heard me say that about a hundred times in this conversation. But 3D is where we’re spending a lot of our internal R&D right now, obviously some acquisition, but R&D efforts focused on making 3D more effective and more approachable. It overcomes the classic lighting problems that you have in machine vision. 3D doesn’t care about contrast, it doesn’t care about change in distance as long as you’re still inside the field of view, it’s not going to lose scale. On the number of pixels across a target because it’s automatically going to scale for you. So it really does away with a lot of the variability you deal with in a standard vision system. So that’s why we’re really looking to leverage 3D into the future to make it, number one, low cost enough that everybody can deploy it even for simple applications. And number two, easy enough to program that you don’t have to have a PhD to tackle a simple application. 

[00:20:40.160] – Josh Eastburn 

So I hear ease of use here. I feel like you’ve mentioned that a few times now. I’d like to put some names to some of these descriptions. Is the FS Line is that the fixed industrial scanning line that you were talking about?  

[00:20:52.630] – Charlie Long 

Yeah, so your FS10, FS20, FS42, and FS80 is our range of fixed industrial scanning products, right? So we’ve got another product that lives in there as a sister product called the NS42. And the NS42 is we’ll call it our Bridge product, right? It’s our vision sensor product that’s same hardware design as the fixed industrial scanning product. But it’s got some AI tools and some standard vision tools to do your simple go/no gaging applications. 

[00:21:25.420] – Josh Eastburn 

Gotcha. 

[00:21:26.140] – Charlie Long 

And then when we talk about 3D, you’re looking at two really exciting 3D products that we put into the market. One is the Photoneo product, which we call the 3S. That’s a structured lighting scanning product that a couple things it does different is you can put multiple heads up and put them on different wavelengths of light, so you don’t have interference between the two heads. So you can capture multi-directional full 3D models at the same time, which is exciting for us because it’ll make that much quicker, much easier to integrate. And then we’ve got the AltiZ, which is our 3D laser profile device, right. So that’s gonna be your typical laser line triangulation device, the difference is ours in typical zebra fashion, we’ve got a model that has two receivers in it. So we do away with a lot of the artifacts and dead zones that you would have in a typical laser scanning device. So that’s where you’ll see a lot higher accuracy, a lot higher speed than what you’ll get out of a conventional laser profiler. 

[00:22:32.250] – Josh Eastburn 

Yeah, I remember Photoneo talking about and demoing some complex situations doing 3D bin picking, complex parts are parts that are hard typically to detect, like flat pieces laying on top of each other, that sort of thing. 

[00:22:47.830] – Charlie Long 

Absolutely. Yeah, the Photoneo product is great for that because it does combine a color camera with the 3D scanner. We’ve got the blue light and the red light in those as well, so you can deal with the shiny targets in a bin, right. So path planning is built in so you don’t have to figure out how to program the complexities of the robot moving around the parts, because if you think about it as you’re picking a bin of parts, you have a bin that’s two meters deep. As you start to pull parts out of it, the other parts are going to move. You’ve got to avoid the edges of the bin and the top of the bin. Understand where your end effector is at in space. And our software will do all that for you as you move down through the pick. 

[00:23:28.290] – Josh Eastburn 

Fantastic. It seems like you, zebra is being really thoughtful as it puts together this initial offering. I saw also on your website, you’re also covering some of the other, you know, typical bases, video controllers, frame grabbers and a lot of the other little parts and pieces, right, in addition to kind of this core product line, right? 

[00:23:50.170] – Charlie Long 

Yeah, absolutely. That’s interesting you bring that up. Not a lot of people are engaged in that part of it, Josh, right. But ultimately, we’re the only vision supplier I can really think of that goes soup to nuts from the very simple app where you’re just reading a barcode to the eight channel CXP frame grabber that will acquire images at a much higher rate and put them into the industrial PC of your choice. 

[00:24:14.860] – Charlie Long 

Right. 

[00:24:15.260] – Charlie Long 

So we build cameras as well. We’re one of the only vision companies left that builds their own cameras also. And we’ve got CXP cameras on the horizon here that are going to give us a lot higher speed multiple channels that’ll go back into those frame grabbers as well. But we do a lot in the OEM space where we have to build a custom product and adapt those frame grabbers and PCs and even the cameras to unique applications that our customers bring to us. So yeah, we can sell an off the shelf thing that there’s a thousand of them that are the same coming out in the same month to the custom product for somebody that needs to do something really niche or really specific. 

[00:24:57.510] – Josh Eastburn 

I feel like stuff in automation, it doesn’t die, right? It just goes into legacy support for decades. The number of times I’ve talked about frame grabbers already this year, yeah, they’re not going anywhere. So that’s really awesome. And I think I’m sure this is just the beginning, right. I imagine this is an early conversation. And there’s a lot more still to look forward to as we go into now 2026. What are some things that people should be looking out for? Coming from Zebra, whether that’s events or products or updates. We haven’t even talked about Aurora. I think I had mentioned that too. Or you had mentioned the software package. Yeah. 

[00:25:35.350] – Charlie Long 

Yeah, no, but you’re going to see more from us on the software side, that’s for sure. Right. So we’re trying to leverage the strength of what we put together from here to surprise people in the market. I did mention you’re going to see some more things coming from us on the AI side of things that’s going to make everybody that needs to program or deploy a vision system’s life easier. So we’re coming into that in the not too distant future. And we’ve definitely got some exciting hardware that’ll be dropping soon as well. Of course, we’re going to be at Automate in IMTS and we just did Pack Expo, so we try to hit the major shows so people can get their hands on our equipment as well. But you’re also going to see a lot more feet on the street with Zebra product also. That’s one thing that we’re trying to put our proof on the street to show that we can bring the equipment to you and set it up and solve your application on the spot as well. 

[00:26:30.080] – Josh Eastburn 

Yeah, fantastic. That always makes a huge difference. Just like your story about the web tension system, right? I mean, it’s totally different when you see it in operation versus the brochure or something. Did I leave anything out? Anything you want to touch on before we wrap up? 

[00:26:49.240] – Charlie Long 

I don’t think so. It’s been a great conversation. Like I said, I’m excited to have gotten the opportunity to join Zebra. But yeah, hopefully we’ll be talking again when we have a couple more technology drops here over the next couple months. 

[00:27:02.760] – Josh Eastburn 

Fantastic. One to watch for sure. Well, thank you so much for your time. Thank you to Charlie Long and Michael Gilhuly at Zebra for making this interview happen. You can learn more about Zebra’s fixed industrial scanning and machine vision portfolio @zebra.com and keep an eye on mvpromedia.com for more coverage of this and other companies working hard to earn your machine vision dollar. I know many of us are looking forward to the holidays and if you are still planning to tune into the MV Pro podcast over Thanksgiving week, look out for a special interview from our Women in Vision series going on at mvpromedia.com where we are talking about women who are making important contributions to the fields of machine vision and computer imaging. Until then, I’m Josh Eastburn for MV Pro Media. Take care.