 All right, I wanted to do a quick video on the Unify system, specifically about loading up the processor and when you build your own Unify video system. So I love the fact that Unify and our software is really great. So you can build your own Unify video recording system, NVR, network video recorder. I've got a whole tutorial on how to build it, how to set it up. But people ask, like, how do I scale it? How do I load it? So I'm going to get a 10 camera system, 20 camera system. What's the kind of load that we can put on these? And there's not the best information I found out there, but it really doesn't take too much horsepower. They've seen we've done an excellent job in writing the software and not making it a resource talk. So this is my Unify NVR, excuse me, Unify NVR running Debian 8. So I just loaded this the other day, it works great. And it is running the AMD FX8320E8 core processor. So let's look at what those processors are doing right now. Nothing. When I first opened it up, H-top actually seems to pull some of the resources around. So we got all eight cores here. And then we have the memory usage. We're looking at 881 megs, and it's been running overnight recording, you know, because we do kind of a burn-in test to make sure all this works. And we have a 4TB hard drive that it's recording to. So in this project here, you can kind of see, OK, it's not using too much CPU usage. And I got this pinned on top, and I'll stick the CPU on the bottom. Let's go over to the live view. And we see maybe a little bit of CPU jump when I went to the live view, but it's really minimal. Now these are all set. And I got these cameras. I'm going to show you real quick here. So if we look at any camera, they're all pushed over to 30 frames a second recording. So instead of, you know, I wanted a higher frame rate. I wanted it on there. And I've got them all set to record on motion only. So maybe because they're not recording, it's not pulling much bandwidth. All right, well, let's take a look at that too. Let's go over to the, I'll even leave it in a live view so you guys have something to see. I'm going to run out of my office and put these at the bottom, but trust me, all the cameras are here. And you can watch what happens to the processors when I run in front of the cameras and they start recording with motion. So it was a triggered motion record. And as you can see, all eight cores barely had to do anything. So they jump up a little bit for a second, but nothing's peaked. Nothing is getting to a high, what they refer to as low to average or wait time on here. The system is just running great. And I'm predicting I could probably put four times the number of cameras on here. Now we have some bigger installation projects coming up. I'm hoping we can do some bigger videos on them so we can cover like a larger scale system where we might have to use something a little bit beefier. But this is something really nice about the Unify systems. The coding is done so well. It doesn't seem to take much in terms of bandwidth to make this work. Now real quick, I'll set these to full recording. And by doing that, we'll see if that loads up the processor anymore. So instead of record on motion, just record all the time. Now we can see all of them recording all at once. Same thing. Memory usage went up like 10 megabytes, what 12 megabytes more than when we started. Probably used to me playing the menus and now the processors are idling back down. So even recording all time, we just set all the processors at a steady 1, 1.5%. So if we scale that out, I can tell you that this system, even doing full time recording like this, is still not under load. So you could easily double, triple, quadruple the number of cameras and the system would be fine. Now of course then there's the next question of bandwidth. So let's look at what the bandwidth is doing. We actually have a couple of tools inside of here. So if you go to Settings, NVR, Stats, and you can see that it just doesn't hit the full CPU utilization here. As a matter of fact, the overall, because this is aggregating across all the processors to create this graph, it's barely doing anything. Here's where we just started playing with it right here this morning. I wasn't here at 4 a.m. I don't get here till 7. So here's when I first actually walked in the door, it woke it up a little bit. We are not even coming close to hitting full utilization. Same with the memory. You know, we're at, like to say, 25% or 900 megs is about that. We do use a little bit more bandwidth. So I mean there is going to be some bandwidth considerations when you're doing this. When we're ramping up on some of the hard drive uses, that's going to happen when everything is set to full record like that. Now we can also run, I was just running Htop. We can run IFTop. And you can kind of get an idea. It's going to start aggregating statistics for each camera. So here's each one of these, and it shows you how much bandwidth each one of these cameras is using. So one, two, three, four, five, six, seven, eight, nine cameras, and then how much is going over to me. Now one of the things you're going to notice, and I'm going to hit live view over here where you can do this, my computer is going to start using a lot more bandwidth. And I jump right to the top because it's aggregating all the bandwidth from all the cameras to a live view over to me. So you know, there's some bandwidth considerations there, but for the most part you can see I'm not even near stressing out the network or the capacity because these cameras are still only pulling while set to all recording in the 50, you know, 100 kilobit per second. So really low amounts. So the camera's bandwidth isn't that much, so Unify is doing a great job of compression on these to be able to do this. But hopefully this gives you a little bit of insight for some capacity planning when you're doing these. And like I said, I plan to do some more follow-up videos, especially if I can, we got a couple of big bids out for some really large systems. I'd love to do like a hundred camera system. You'll find out how well this thing scales and what kind of a system we need for that. But I'm just really impressed that this generally inexpensive AMD AQOR system is really rockin' fine with these cameras. I mean, it does not cost us a fortune to build. The most expensive part of the build really is putting a few hard drives in for storage. But at least this gives you an idea of some of the bandwidth and processor utilization that comes with using the Unify camera system. If you like the content here, like and subscribe. Hopefully this was insightful. It's been a learning curve for me and trying to find some of the documentation on this has been a little bit tough. If someone has a good resource of like camera capacity planning or a chart someone's put together, link it, send me an email. I would be interested in knowing that. Once again, like the content here, like and subscribe, thanks.