A Nano with fan and antennas, a case, a camera, and an SSD Finally: Configuring Your NVRĪssuming you’re using ZoneMinder, you add cameras as Monitors. One easy way to do that if you have Windows is using the free Win32 Disk Imager to make an image of your microSD card.Įverything you need to build a portable video surveillance system. Second, I recommend making a backup of your system once it is the way you want it. You can run it remotely over an ssh or other terminal session, and use either web interfaces for managing the NVR or a remote GUI like X Windows. Seagate’s new Ironwolf 110 SSDs are also optimized to live with the heavy workloads typical of a network server, but you can certainly use something less expensive - the M.2 drive I used was the one I took out of my Dell laptop when I put a larger one in - if you’re trying to keep costs down.Ĭonfiguration Tips: First, once you get it set up, you don’t need to connect a keyboard, mouse, or display to the Nano for most things. The small size of the SSD means that you have the basis for an ultra-portable video surveillance system. I’ve been testing a home NVR on a Synology DS-1019+ 5-bay NAS with a 2-drive 2TB RAID 1 array successfully, so I used a 2TB Ironwolf 110 SSD. How much storage you need depends on your cameras, their resolution, and how long you want to keep recordings. As an alternative, I connected an M.2 SSD that also worked, but of course, wasn’t optimized for a NAS workload. Used with an enclosure that had its own power supply it worked perfectly, with the only drawback being that it wouldn’t power up correctly when connected only to a USB port. ![]() Seagate has introduced a NAS-optimized Ironwolf 110 SSD and I had a review unit to use. Almost any SATA drive is usable, but for performance and portability, an SSD would be best.įortunately, I happened to have the ideal SSD at hand. One additional peripheral you will need is a storage drive for recorded videos. Commercial efforts to create NVRs based on the Nano have added multiple Ethernet ports via M.2 adapters, but for a home-brew solution, as long as you have a way to get your cameras on the network (or can live with just a couple USB-connected models), there isn’t any need for that. ![]() Several are linked in the Enclosure section of the excellent eLinux Nano site. There are now even some 3D-printable enclosures you can make yourself or have a service bureau print for you. All of that is pretty easy, and Nvidia has helpfully provided some links to compatible parts on its Jetson Nano Developer site. For heavy duty computing, you’ll also want to get a 4-amp, 5-volt power supply with the appropriate barrel connector. It’s pretty easy to add a Wi-Fi+Bluetooth card via the M.2 slot, but you could also use one of the four USB ports. The Nano has an Ethernet port, but if you want to use it with Wi-Fi you need to add that yourself. Out of the box, the Nano has a CPU, GPU, RAM, and comes on a carrier board that has lots of I/O options. Of course, a native Linux host would be ideal, but I was able to do what I needed without firing up a dedicated Linux desktop. I think VMWare would be even better as it reportedly has even better USB device support, but Virtualbox is free and has worked well. At first, I tried to get by with Hyper-V, but it really isn’t ideal for this usage, as I wanted to do some remote development where I could test peripherals on a host Linux system and then deploy to the Nano, so I switched to Oracle’s Virtualbox. Thanks to X Windows, and web-server-based apps, I could do almost everything from my machine and not need to move over to the Nano. You can definitely work directly on the Nano, as it has decent interactive performance, but I found it more convenient to use a Linux VM on my main Windows machine to connect with it. A wide variety of AI tools and demo applications are pre-installed for you. Once you’ve attached a keyboard, mouse, and monitor, all you need to do is plug in a micro USB power supply and you’ll be running Ubuntu 18.04. Technically, all you need is 16GB, but the system takes most of that, so I used a high-speed 64GB card. All you need is a microSD card and a computer to flash the L4T (Linux For Tegra) image. ![]() Nvidia makes it really easy to set up the Nano. So for those wanting to play with their own motion or person or package or pet recognition, it’d be ideal. Plus, the integrated GPU has more AI capacity than most larger NAS units, and the Nano comes with tons of AI tools pre-installed. It consumes very little power and is portable. ![]() In the middle of working on an update to our articles on home video surveillance systems, I bought one of Nvidia’s new Jetson Nanos. While playing with the $99 board and using it to do object recognition using a variety of cameras, it suddenly occurred to me that it would be a pretty interesting starting point for a slick little Network Video Recorder (NVR) NAS device.
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