Difference between revisions of "Jetson Nano"

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NVIDIA '''[https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano]''' is an embedded system-on-module (SoM) and developer kit from the '''[https://developer.nvidia.com/buy-jetson NVIDIA Jetson]''' family, including an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O.  
+
NVIDIA '''[https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano]''' is an embedded system-on-module (SoM) and developer kit from the [https://developer.nvidia.com/buy-jetson NVIDIA Jetson] family, including an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O.  There is also the '''[https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit Jetson Nano 2GB Developer Kit]''' with 2GB memory and the same processing specs.
  
 
Useful for deploying computer vision and deep learning, Jetson Nano runs Linux and provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption.
 
Useful for deploying computer vision and deep learning, Jetson Nano runs Linux and provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption.
  
Jetson Nano is currently available as the '''[https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit]''' for $99, with the production compute module coming in June 2019.  See the wiki of the other Jetson's '''[[Jetson|here]]'''.
+
Jetson Nano is currently available as the '''[https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit]''' for $99, the '''[https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit Jetson Nano 2GB Developer Kit]''' for $59, and the production [https://developer.nvidia.com/embedded/jetson-nano compute module].  See the wiki of the other Jetson's [[Jetson|here]].
  
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{{spaces|1}} <span style="font-family: Trebuchet MS; color: white;">'''Technical Blog''' — </span>''[https://devblogs.nvidia.com/jetson-nano-ai-computing <span style="font-family: Trebuchet MS; color:white;">NVIDIA Jetson Nano Brings AI to Everyone</span>]''
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{{spaces|1}} <span style="font-family: Trebuchet MS; color: white;">'''Technical Blog''' — </span>''[https://developer.nvidia.com/blog/ultimate-starter-ai-computer-jetson-nano-2gb-developer-kit <span style="font-family: Trebuchet MS; color:white;">Introducing the Ultimate Starter AI Computer, the NVIDIA Jetson Nano 2GB Developer Kit</span>]''
 
|}
 
|}
 
<br />
 
<br />
  
[[File:Jetson_Nano_Family.png|right|text-bottom]]
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[[File:Jetson_Nano_Family.png|thumb|500px|right|text-bottom|link=https://developer.nvidia.com/embedded/buy/jetson-nano-devkit|Jetson Nano Developer Kit and compute module]]
 +
[[File:NVIDIA-Jetson-Nano-2GB-Package-1000px.jpg|thumb|500px|right|text-bottom|link=https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit|Jetson Nano 2GB Developer Kit]]
  
 
= Jetson Nano Developer Kit =
 
= Jetson Nano Developer Kit =
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The [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit] is an easy way to get started using Jetson Nano, including the module, carrier board, and software.  It costs $99 and is available from distributors worldwide.
 
The [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit] is an easy way to get started using Jetson Nano, including the module, carrier board, and software.  It costs $99 and is available from distributors worldwide.
  
[[File:Jetson_Nano_Developer_Kit.png|450px|right]]
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[[File:Jetson_Nano_Developer_Kit_P3449_B01.jpg|thumb|450px|right|link=https://developer.nvidia.com/embedded/buy/jetson-nano-devkit|Jetson Nano Developer Kit]]
 +
[[File:Nvidia-Jetson-Nano-2GB-Dev-Kit-1123x870.jpg|thumb|450px|right|link=https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit|Jetson Nano 2GB Developer Kit]]
 +
 
 +
There is also the [https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit Jetson Nano 2GB Developer Kit] available for $59, which has 2GB memory and the same 472-GFLOPS processing performance.
  
 
=== What's Included ===
 
=== What's Included ===
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=== What You Will Need ===
 
=== What You Will Need ===
 
* Power Supply
 
* Power Supply
** 5V⎓2A Micro-USB adapter (see [https://www.adafruit.com/product/1995 Adafruit GEO151UB])
+
** Jetson Nano Developer Kit ''(Micro-USB or DC barrel jack)''
** 5V⎓4A DC barrel jack adapter, 5.5mm OD x 2.1mm ID x 9.5mm length, center-positive (see [https://www.adafruit.com/product/1466 Adafruit 1446])
+
*** 5V⎓2.5A Micro-USB adapter (see [https://www.adafruit.com/product/1995 Adafruit GEO151UB])
** See the [[Jetson Nano#Power_Supplies|Power Supplies]] section below and [https://devtalk.nvidia.com/default/topic/1048640/jetson-nano/power-supply-considerations-for-jetson-nano-developer-kit/ Power Supply Considerations] for more information.
+
*** 5V⎓4A DC barrel jack adapter, 5.5mm OD x 2.1mm ID x 9.5mm length, center-positive (see [https://www.adafruit.com/product/1466 Adafruit 1446])
* MicroSD card (16GB UHS-1 recommended minimum)
+
*** See the [https://developer.nvidia.com/embedded/dlc/jetson-nano-scl Jetson Nano Supported Component List] and [[Jetson Nano#Power_Supplies|Power Supplies]] section below for more information.
 +
** Jetson Nano 2GB Developer Kit ''(USB-C power supply)''
 +
*** 5V⎓3A USB-C adapter
 +
*** See the [https://developer.nvidia.com/embedded/learn/jetson-nano-2gb-devkit-user-guide#id-.JetsonNano2GBDeveloperKitUserGuidevbatuu_v1.0-SupportedComponentList Jetson Nano 2GB Supported Component List] and [[Jetson Nano#Power_Supplies|Power Supplies]] section below for more information.
 +
* MicroSD card (32GB UHS-1 recommended minimum)
  
 
=== Ports & Interfaces ===
 
=== Ports & Interfaces ===
* 4x USB 3.0 A (Host)  
+
{| class="wikitable" style="text-align: center;"
* USB 2.0 Micro B (Device)
+
|-
* MIPI CSI-2 x2 (15-position Camera Flex Connector)
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! !! scope="col" width="50%" | [https://developer.nvidia.com/embedded/jetson-nano-developer-kit Jetson Nano Developer Kit] !! [https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit Jetson Nano 2GB Developer Kit]
* HDMI 2.0
+
|-
* DisplayPort
+
| USB || (4x) USB 3.0 Type-A, USB 2.0 Micro-B || (1x) USB 3.0 Type-A, (2x) USB 2.0 Type-A, USB 2.0 Micro-B
* Gigabit Ethernet (RJ45)
+
|-
* M.2 Key-E with PCIe x1
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| Camera || (2x) MIPI CSI-2 x2 (15-position Camera Flex Connector) || (1x) MIPI CSI-2 x2 (15-position Camera Flex Connector)
* MicroSD card slot
+
|-
* (3x) I2C, (2x) SPI, UART, I2S, GPIOs
+
| Display || HDMI 2.0, DisplayPort || HDMI 2.0
 +
|-
 +
| Wireless || M.2 Key-E (PCIe x1) || 802.11ac USB dongle*
 +
|-
 +
| Ethernet
 +
| colspan="2" style="text-align: center;" | Gigabit Ethernet (RJ45)
 +
|-
 +
| Storage
 +
| colspan="2" style="text-align: center;" | MicroSD card slot
 +
|-
 +
| Other
 +
| colspan="2" style="text-align: center;" | 40-pin Header - (3x) I2C, (2x) SPI, UART, I2S, GPIOs
 +
|-
 +
| Power || Micro-USB (5V⎓2.5A) or DC barrel jack (5V⎓4A) || USB-C (5V⎓3A)
 +
|}
 +
<small>* Not initially available in all regions</small>
  
 
=== Getting Started ===
 
=== Getting Started ===
* Follow the '''[https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit Getting Started with Jetson Nano Guide]''' to setup your devkit and format the MicroSD card.<br />
+
* Follow the Getting Started guide for your respective Jetson Nano to setup your devkit and format the MicroSD card:
 +
** '''[https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit Getting Started With Jetson Nano Developer Kit]''' (4GB)
 +
** '''[https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-2gb-devkit#intro Getting Started with Jetson Nano 2GB Developer Kit]'''
 
* Plug in an HDMI display into Jetson, attach a USB keyboard & mouse, and apply power to boot it up. <br />
 
* Plug in an HDMI display into Jetson, attach a USB keyboard & mouse, and apply power to boot it up. <br />
* Visit the '''[https://developer.nvidia.com/embedded-computing Embedded Developer Zone]''' and '''[https://devtalk.nvidia.com/default/board/371/jetson-nano/ Jetson Nano Developer Forum]''' to access the latest documentation & downloads.
+
* Visit the [https://developer.nvidia.com/embedded-computing Embedded Developer Zone] and [https://devtalk.nvidia.com/default/board/371/jetson-nano/ Jetson Nano Developer Forum] to access the latest documentation & downloads.
  
 
=== Availability ===
 
=== Availability ===
  
The devkit is available for $99 from the [https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/ NVIDIA webstore] and global distributors, including:
+
The Nano devkit and commercial module are available from distributors worldwide. Visit the '''[https://developer.nvidia.com/buy-jetson?product=jetson_nano&location=US Region Selector]''' webpage to find ordering information in your area.
 
 
<div style="width:25%;column-count:2;-moz-column-count:2;-webkit-column-count:2">
 
* [https://www.amazon.com/NVIDIA-Jetson-Nano-Developer-Kit/dp/B07PZHBDKT/ Amazon]
 
* [https://www.arrow.com/en/products/945-13450-0000-000/nvidia Arrow]
 
* [https://www.newegg.com/Product/Product.aspx?Item=N82E16813190009 Newegg]
 
* [https://www.seeedstudio.com/NVIDIA-Jetson-Nano-Development-Kit-p-2916.html Seeed Studio]
 
* [https://www.siliconhighwaydirect.co.uk/ProductDetails.asp?ProductCode=945-13450-0000-000 Silicon Highway]
 
* [https://www.sparkfun.com/products/15297 SparkFun]
 
</div>
 
 
 
For the full list, refer to the [https://developer.nvidia.com/buy-jetson?product=jetson_nano&location=US Region Selector].
 
  
 
= Software Support =  
 
= Software Support =  
<div style="width:50%;column-count:2;-moz-column-count:2;-webkit-column-count:2">
+
<div style="width:40%;column-count:2;-moz-column-count:2;-webkit-column-count:2">
* [https://developer.nvidia.com/embedded/jetpack JetPack 4.2]
+
* [https://developer.nvidia.com/embedded/jetpack JetPack]
* [https://developer.nvidia.com/embedded/linux-tegra Linux4Tegra R32.1] (L4T)
+
* [https://developer.nvidia.com/embedded/linux-tegra Linux4Tegra] (L4T)
 
* Linux kernel 4.9
 
* Linux kernel 4.9
* Ubuntu 18.04 LTS aarch64
+
* Ubuntu 18.04 aarch64
* CUDA Toolkit 10.0
+
* [https://developer.nvidia.com/cuda-toolkit CUDA Toolkit]
* cuDNN 7.3.1
+
* [https://developer.nvidia.com/cudnn cuDNN]
* [https://developer.nvidia.com/tensorrt TensorRT] 5.0.6
+
* [https://developer.nvidia.com/tensorrt TensorRT]
* TensorFlow 1.31.1
+
* [https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html TensorFlow]
* [https://developer.nvidia.com/embedded/visionworks VisionWorks] 1.6
+
* [https://developer.nvidia.com/embedded/visionworks VisionWorks]
* OpenCV 3.3.1
+
* OpenCV 4.1
* OpenGL 4.6  
+
* OpenGL 4.6 / OpenGL ES 3.2.5
* OpenGL ES 3.2
+
* Vulkan 1.1.1
* EGL 1.5
+
* [http://developer.nvidia.com/embedded/dlc/l4t-multimedia-api-reference-32-1 L4T Multimedia API] (Argus 0.97)
* Vulkan 1.1
 
 
* GStreamer 1.14.1
 
* GStreamer 1.14.1
 
* V4L2 media controller support
 
* V4L2 media controller support
 +
* [https://developer.nvidia.com/nsight-systems NVIDIA Nsight Systems]
 +
* [https://developer.nvidia.com/nsight-graphics NVIDIA Nsight Graphics]
 +
* [https://developer.nvidia.com/nsight-compute NVIDIA Nsight Compute]
 
</div>
 
</div>
 +
 +
See the '''[[Jetson Zoo]]''' for more software packages to install on top of JetPack.
  
 
= Guides and Tutorials =
 
= Guides and Tutorials =
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<div style="width:75%;column-count:2;-moz-column-count:2;-webkit-column-count:2">
 
<div style="width:75%;column-count:2;-moz-column-count:2;-webkit-column-count:2">
 
* [https://docs.nvidia.com/jetson/l4t/index.html L4T Kernel Development Guide]
 
* [https://docs.nvidia.com/jetson/l4t/index.html L4T Kernel Development Guide]
 +
* [[Jetson/Clone|Clone & Restore]]
 
* [https://github.com/jtagxhub/jetpack-agx-build Jetson Nano Build Assistant Scripts]
 
* [https://github.com/jtagxhub/jetpack-agx-build Jetson Nano Build Assistant Scripts]
 +
* [[Jetson/FAQ/BSP|BSP FAQ]]
 
* [https://devtalk.nvidia.com/default/topic/1048640/jetson-nano/power-supply-considerations-for-jetson-nano-developer-kit/ Power Supply Considerations]
 
* [https://devtalk.nvidia.com/default/topic/1048640/jetson-nano/power-supply-considerations-for-jetson-nano-developer-kit/ Power Supply Considerations]
 
* [[Jetson/Nano/Upstream|Upstream Development Guide]]
 
* [[Jetson/Nano/Upstream|Upstream Development Guide]]
 
* [https://devtalk.nvidia.com/default/topic/1049811/jetson-nano/cuda-and-vision-works-demos/post/5328027/#5328027 CUDA and VisionWorks Samples]
 
* [https://devtalk.nvidia.com/default/topic/1049811/jetson-nano/cuda-and-vision-works-demos/post/5328027/#5328027 CUDA and VisionWorks Samples]
* [https://devtalk.nvidia.com/default/topic/1048817/jetson-nano/3d-cad-step-model-for-jetson-nano/post/5325051/#5325051 Preliminary 3D CAD Model]
+
* [https://devtalk.nvidia.com/default/topic/1052324/jetson-nano/jetson-nano-aws-greengrass-/post/5341970/#5341970 Install AWS Greengrass] - IoT framework
 
* [https://support.rackspace.com/how-to/create-a-linux-swap-file/ Mounting a SWAP File]
 
* [https://support.rackspace.com/how-to/create-a-linux-swap-file/ Mounting a SWAP File]
 
* [https://www.jetsonhacks.com/2019/04/25/jetson-nano-run-on-usb-drive/ Booting from SSD]
 
* [https://www.jetsonhacks.com/2019/04/25/jetson-nano-run-on-usb-drive/ Booting from SSD]
 
* [https://www.jetsonhacks.com/nvidia-jetson-nano-j41-header-pinout/ GPIO Header Pin-out]
 
* [https://www.jetsonhacks.com/nvidia-jetson-nano-j41-header-pinout/ GPIO Header Pin-out]
* [https://github.com/rt-net/JetsonNano_DT_SPI Enabling SPI in DTS]
+
* [https://github.com/jwatte/jetson-gpio-example GPIO Direct Access from C]
 +
* [https://github.com/rt-net/JetsonNano_DT_SPI Enabling SPI in DTS (R32.1)]
 +
* [https://github.com/gtjoseph/jetson-nano-support/tree/l4t_32.2.1 Enabling SPI in DTS (R32.2.1)]
 
* [https://devtalk.nvidia.com/default/topic/1050026/jetson-nano/read-serial-number-of-jetson-nano/post/5329191/#5329191 Reading Serial Number]
 
* [https://devtalk.nvidia.com/default/topic/1050026/jetson-nano/read-serial-number-of-jetson-nano/post/5329191/#5329191 Reading Serial Number]
 
* [https://gist.github.com/dusty-nv/e4314241677cf38f40d556931d0c4a38 Reading MAC Address]
 
* [https://gist.github.com/dusty-nv/e4314241677cf38f40d556931d0c4a38 Reading MAC Address]
 
* [https://github.com/rbonghi/jetson_easy jetson_easy] - automatic setup/scripting
 
* [https://github.com/rbonghi/jetson_easy jetson_easy] - automatic setup/scripting
 
* [https://github.com/rbonghi/jetson_stats jetson_stats] - jtop, service and other tools
 
* [https://github.com/rbonghi/jetson_stats jetson_stats] - jtop, service and other tools
* [https://devtalk.nvidia.com/default/topic/1052324/jetson-nano/jetson-nano-aws-greengrass-/post/5341970/#5341970 Install AWS Greengrass] - IoT framework
 
 
* [https://github.com/pvaret/rtl8192cu-fixes rtl8192cu-fixes] - patched Edimax EW-7811 Wi-Fi driver
 
* [https://github.com/pvaret/rtl8192cu-fixes rtl8192cu-fixes] - patched Edimax EW-7811 Wi-Fi driver
 
</div>
 
</div>
  
 
=== Deep Learning ===
 
=== Deep Learning ===
 +
See the '''[[Jetson Zoo]]''' for more resources on deploying AI and deep learning.
 +
 
* [https://github.com/dusty-nv/jetson-inference Hello AI World] (jetson-inference)
 
* [https://github.com/dusty-nv/jetson-inference Hello AI World] (jetson-inference)
* [https://developer.nvidia.com/embedded/downloads#?search=TensorFlow TensorFlow 1.13.1 Installer] (pip wheel)
+
* [https://developer.nvidia.com/embedded/downloads#?search=TensorFlow TensorFlow Installer] (pip wheel)
* [https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/ PyTorch 1.1 Installer] (pip wheel)
+
* [https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/ PyTorch Installer] (pip wheel)
 
* [https://devtalk.nvidia.com/default/topic/1049293/jetson-nano/i-was-unable-to-compile-and-install-mxnet-on-the-jetson-nano-is-there-an-official-installation-tutorial-/post/5326170/#5326170 MXNet 1.4 Installer] (pip wheel)
 
* [https://devtalk.nvidia.com/default/topic/1049293/jetson-nano/i-was-unable-to-compile-and-install-mxnet-on-the-jetson-nano-is-there-an-official-installation-tutorial-/post/5326170/#5326170 MXNet 1.4 Installer] (pip wheel)
 +
* [https://devtalk.nvidia.com/default/topic/1065203/jetson-nano/paddlepaddle-for-jetson-nano-version-1-5-2-now-available/ PaddlePaddle Installer] (pip wheel)
 
* [https://devtalk.nvidia.com/default/topic/1050377/jetson-nano/deep-learning-inference-benchmarking-instructions/ Deep Learning Inference Benchmarking Instructions]
 
* [https://devtalk.nvidia.com/default/topic/1050377/jetson-nano/deep-learning-inference-benchmarking-instructions/ Deep Learning Inference Benchmarking Instructions]
 
* [https://medium.com/swlh/how-to-run-tensorflow-object-detection-model-on-jetson-nano-8f8c6d4352e8 TensorFlow Object Detection With TensorRT] (TF-TRT)
 
* [https://medium.com/swlh/how-to-run-tensorflow-object-detection-model-on-jetson-nano-8f8c6d4352e8 TensorFlow Object Detection With TensorRT] (TF-TRT)
 
* [https://developer.ridgerun.com/wiki/index.php?title=GstInference RidgeRun's GstInference]
 
* [https://developer.ridgerun.com/wiki/index.php?title=GstInference RidgeRun's GstInference]
 
* [https://developer.ridgerun.com/wiki/index.php?title=R2Inference RidgeRun's R2Inference]
 
* [https://developer.ridgerun.com/wiki/index.php?title=R2Inference RidgeRun's R2Inference]
 
See the [https://github.com/NVIDIA-AI-IOT/ NVIDIA AI-IoT GitHub] for other coding resources on deploying AI and deep learning.
 
  
 
=== Robotics ===
 
=== Robotics ===
 +
* [https://developer.nvidia.com/isaac-sdk NVIDIA Isaac] (robotics SDK + simulator)
 +
* [https://docs.nvidia.com/isaac/isaac/doc/tutorials/assemble_kaya.html NVIDIA Kaya] (Isaac reference robot)
 
* [https://github.com/NVIDIA-AI-IOT/jetbot NVIDIA JetBot] (AI-powered robotics kit)
 
* [https://github.com/NVIDIA-AI-IOT/jetbot NVIDIA JetBot] (AI-powered robotics kit)
 
* [https://github.com/dusty-nv/jetbot_ros jetbot_ros] (ROS nodes for JetBot)
 
* [https://github.com/dusty-nv/jetbot_ros jetbot_ros] (ROS nodes for JetBot)
Line 140: Line 164:
  
 
*RidgeRun has a [https://developer.ridgerun.com/wiki/index.php?title=V4L2_drivers_available_for_Jetson_SoCs list of drivers already supported in Jetson], please check if the driver that you need is already there. Otherwise, RidgeRun offers [https://developer.ridgerun.com/wiki/index.php?title=V4L2_driver_for_camera_sensor_or_capture_chip services to create the driver for you]
 
*RidgeRun has a [https://developer.ridgerun.com/wiki/index.php?title=V4L2_drivers_available_for_Jetson_SoCs list of drivers already supported in Jetson], please check if the driver that you need is already there. Otherwise, RidgeRun offers [https://developer.ridgerun.com/wiki/index.php?title=V4L2_driver_for_camera_sensor_or_capture_chip services to create the driver for you]
 +
 +
=== Design FAQs ===
 +
 +
There are some useful FAQs for Jetson Nano design, link is [[Jetson_Nano/FAQ|here]].
 +
<br />
 +
<br />
  
 
= Ecosystem Products and Sensors =
 
= Ecosystem Products and Sensors =
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The following are 3rd-party accessories, peripherals, and cameras available for Jetson Nano.
 
The following are 3rd-party accessories, peripherals, and cameras available for Jetson Nano.
  
==== Cameras ====
+
=== Cameras ===
* e-con Systems [https://www.e-consystems.com/nvidia-cameras/jetson-nano-cameras/3mp-mipi-camera.asp e-CAM30_CUNANO] (3.4 MP MIPI Camera)
+
''These cameras are plug-and-play with driver support already included in JetPack-L4T:''
 
* Logitech [https://www.logitech.com/en-us/product/hd-webcam-c270 C270] (USB webcam)
 
* Logitech [https://www.logitech.com/en-us/product/hd-webcam-c270 C270] (USB webcam)
 
* Logitech [https://www.amazon.com/Logitech-Widescreen-Calling-Recording-Desktop/dp/B006JH8T3S C920] (USB webcam)
 
* Logitech [https://www.amazon.com/Logitech-Widescreen-Calling-Recording-Desktop/dp/B006JH8T3S C920] (USB webcam)
 +
* Other V4L2-compliant USB webcams
 
* Leopard Imaging [https://leopardimaging.com/product/li-imx219-mipi-ff-nano/ LI-IMX219-MIPI-FF-NANO] (IMX219 sensor)  
 
* Leopard Imaging [https://leopardimaging.com/product/li-imx219-mipi-ff-nano/ LI-IMX219-MIPI-FF-NANO] (IMX219 sensor)  
 
* Raspberry Pi [https://www.raspberrypi.org/products/camera-module-v2/ Camera v2] (IMX219 sensor)
 
* Raspberry Pi [https://www.raspberrypi.org/products/camera-module-v2/ Camera v2] (IMX219 sensor)
 +
* Waveshare [https://www.waveshare.com/catalogsearch/result/?q=IMX219 Nano cameras] (IMX219 sensor)
 +
 +
''These ecosystem cameras may require additional drivers to be installed from the vendor:''
 +
* Allied Vision MIPI CSI-2 (one open-source CSI-2 driver for all cameras on [https://github.com/alliedvision/linux_nvidia_jetson Github.com])
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1500%20C-050.html Alvium 1500 C-050] 0.5MP PYTHON 480
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1500%20C-120.html Alvium 1500 C-120] 1.2MP AR0135CS
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1500%20C-210.html Alvium 1500 C-210] 2.1MP AR0521
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1500%20C-500.html Alvium 1500 C-500] 5MP AR0521
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1800%20C-040.html Alvium 1800 C-040] 0.4MP Sony IMX287
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1800%20C-158.html Alvium 1800 C-158] 1.6MP Sony IMX273
 +
* Allied Vision USB3 Vision
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1800%20U-040.html Alvium 1800 U-040] 0.4MP Sony IMX287
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1800%20U-050.html Alvium 1800 U-050] 0.5MP PYTHON 480
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1800%20U-120.html Alvium 1800 U-120] 1.2MP AR0135CS
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1800%20U-158.html Alvium 1800 U-158] 1.6MP Sony IMX273
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1800%20U-500.html Alvium 1800 U-500] 5MP AR0521
 +
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1800%20U-501m%20NIR.html Alvium 1800 U-501m NIR] 5MP AR0522
 +
 +
* Basler MIPI CSI-2 (Drivers & complete Basler pylon Camera Software Suite always included)
 +
** [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa2500-60mci-no-mount/ Basler dart daA2500-60mci (bare board)] 5MP 60fps OnSemi AR0521
 +
** [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa2500-60mci-s-mount/ Basler dart daA2500-60mci (S-Mount)] 5MP 60fps OnSemi AR0521
 +
** [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa2500-60mci-nvjet-nvdk-addon/ Camera AddOn Kit for Jetson Nano daA2500-60mci-NVJET-NVDK-AddOn] 5MP OnSemi AR0521
 +
** [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa4200-30mci-no-mount/ Basler dart daA4200-30mci (bare board)] 13MP 30fps OnSemi AR1335
 +
** [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa4200-30mci-s-mount/ Basler dart daA4200-30mci (S-Mount)] 13MP 30fps OnSemi AR1335
 +
** [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-nvjet-nvdk-addon/ Camera AddOn Kit for Jetson Nano daA4200-30mci-NVJET-NVDK-AddOn] 13MP OnSemi AR1335
 +
 +
* Basler USB3 Vision (Drivers & complete Basler pylon Camera Software Suite always included)
 +
** [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa1920-160uc-s-mount/ Basler dart daA1920-160uc (S-Mount, other mounts available)] 2.3MP 160fps Sony IMX392
 +
** [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa3840-45uc-s-mount/ Basler dart daA3840-45uc (S-Mount, other mounts available)] 8.3MP 45fps Sony IMX334
 +
** [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa1280-54uc-s-mount/ Basler dart daA1280-54uc (S-Mount, other mounts available)] 1.2MP 54fps OnSemi AR0134
 +
** [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa1600-60uc-s-mount/ Basler dart daA1600-60uc (S-Mount, other mounts available)] 2MP 60fps e2v EV76C570
 +
** [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa2500-14uc-s-mount/ Basler dart daA2500-14uc (S-Mount, other mounts available)] 5MP 14fps OnSemi MT9P031
 +
 +
* DCDZ(冬虫电子) [https://item.taobao.com/item.htm?ft=t&id=618819673262 H2C-NCB] (HDMI to CSI2 camera board)
 +
* e-con Systems [https://www.e-consystems.com/nvidia-cameras/jetson-nx-cameras/5mp-mipi-camera-board.asp e-CAM50_CUNX] (5MP AR0521 MIPI Camera)
 +
* e-con Systems [https://www.e-consystems.com/nvidia-cameras/jetson-nano-cameras/3mp-mipi-camera.asp e-CAM30_CUNANO] (3.4 MP MIPI Camera)
 +
* e-con Systems [https://www.e-consystems.com/nvidia-cameras/jetson-agx-xavier-cameras/stereo-camera.asp STEEReoCAM™] (2.0 MP MIPI Stereo Camera)
 
* Appro [http://www.appropho.com/products_ii_en.html?id=187&type=36#pdb04 AP-IMX179-MIPIx1] (IMX179 sensor)
 
* Appro [http://www.appropho.com/products_ii_en.html?id=187&type=36#pdb04 AP-IMX179-MIPIx1] (IMX179 sensor)
 +
* Stereolabs [https://www.stereolabs.com/ ZED] (stereo camera)
 
* Appro [http://www.appropho.com/products_ii_en.html?id=187&type=36#pdc04 AP-IMX290-MIPIx1] (IMX290 sensor)
 
* Appro [http://www.appropho.com/products_ii_en.html?id=187&type=36#pdc04 AP-IMX290-MIPIx1] (IMX290 sensor)
* Stereolabs [https://www.stereolabs.com/ ZED] (stereo camera)
 
  
==== Carriers ====
+
=== Carriers ===
* Antmicro [https://antmicro.com/blog/2019/03/nvidia-jetson-nano-antmicros-baseboard/ Jetson Nano Baseboard] (module carrier)
+
* Antmicro [https://antmicro.com/blog/2020/04/updated-jetson-nano-xavier-nx-baseboard-m2/ Open Baseboard] (module carrier)
 
* Auvidea [https://auvidea.eu/product/70780/ JN30] (module carrier)
 
* Auvidea [https://auvidea.eu/product/70780/ JN30] (module carrier)
 
* Auvidea [https://auvidea.eu/product/70781/ JN30-LC] (module carrier)
 
* Auvidea [https://auvidea.eu/product/70781/ JN30-LC] (module carrier)
 +
* ConnectTech [http://connecttech.com/product/photon-jetson-nano-ai-camera-platform/ Photon] (module carrier)
 +
* DCDZ(冬虫电子) [[Jetson_Nano/ncb00 | NCB00]] (module carrier)
 +
* Leopard Imaging [https://leopardimaging.com/product/li-nano-cb/ LI-NANO-CB] (module carrier)
 +
* Realtimes [http://www.realtimes.cn/cn/product/rtso-6001.html RTSO-6001] (module carrier)
 +
* SmartCow [https://smartcow.ai/en/products/pluto/ Pluto] (module carrier)
  
==== Enclosures ====
+
=== Enclosures ===
* ConnectTech [http://connecttech.com/products/nvidia-jetson-nano/ Nano-Pac] (3D-printable enclosure)
+
3D Printable
* Jetson [https://cults3d.com/en/3d-model/tool/jetson-nano-case Nano Case] (3D-printable enclosure)
+
* ConnectTech [http://connecttech.com/products/nvidia-jetson-nano/ Nano-Pac]
* Jetson [https://www.thingiverse.com/thing:3532828 NanoMesh] (3D-printable enclosure)
+
* Jetson [https://cults3d.com/en/3d-model/tool/jetson-nano-case Nano Case]
* Jetson [https://www.thingiverse.com/thing:3547555 NanoMesh Mini] (3D-printable enclosure)
+
* Jetson [https://www.thingiverse.com/thing:3532828 NanoMesh]
* [https://github.com/57Bravo/jetson_nano_enc jetson_nano_enc] (3D-printable enclosure)
+
* Jetson [https://www.thingiverse.com/thing:3547555 NanoMesh Mini]
* [https://github.com/dudasdavid/Jetson-nano-case Jetson-nano-case] (3D-printable enclosure)
+
* [https://github.com/57Bravo/jetson_nano_enc jetson_nano_enc]
* [https://www.amazon.com/Geekworm-NVIDIA-Enclosure-Control-Developer/dp/B07RRRX121 Geekworm Jetson Nano Case] (metal enclosure)
+
* [https://github.com/dudasdavid/Jetson-nano-case Jetson-nano-case]
* [https://www.kksb-cases.us/collections/nvidia/products/kksb-jetson-nano-case-black# KKSB Jetson Nano Case] (metal enclosure)
+
* [https://www.picocluster.com/collections/jeston-nano PicoCluster]
  
==== Power Supplies ====
+
Metal
See the [[Jetson_Nano#What_You_Will_Need|Power Supply]] section and this [https://devtalk.nvidia.com/default/topic/1048640/jetson-nano/power-supply-considerations-for-jetson-nano-developer-kit/ forum post] for more information about selecting proper power adapters.
+
* Geekworm [https://www.amazon.com/Geekworm-NVIDIA-Enclosure-Control-Developer/dp/B07RRRX121 Jetson Nano Case]
 +
* GeeekPi [https://www.amazon.com/GeeekPi-NVIDIA-Cooling-Control-Developer/dp/B07VVJNXMB/ Jetson Nano Case]
 +
* KKSB [https://www.kksb-cases.us/collections/nvidia/products/kksb-jetson-nano-case-black# Jetson Nano Case]
 +
* Waveshare [https://www.amazon.com/Case-Jetson-Nano-Compatible-Peripherals/dp/B07VTNSS4S Jetson Nano Case]
  
 +
Metal (Fanless)
 +
* AAEON [https://www.aaeon.com/en/p/edge-ai-box-pc-nvidia-jetson-nano-boxer-8220ai?dl=image BOXER-8820AI]
 +
* IoTamy [https://www.iotamy.com/Jetson-Nano-IP67-Fanless-Aluminium-Enclosure IP67 Fanless Aluminum Case]
 +
* MiiVii [https://en.miivii.com/index.php?s=index/category/index&id=102 Nano Lite]
 +
* RapidProto [https://www.hazcam.io/collections/hazcam-products Hazcam]
 +
 +
=== Power Supplies ===
 +
 +
==== Jetson Nano Developer Kit ====
 +
 +
See the [https://developer.nvidia.com/embedded/dlc/jetson-nano-scl Jetson Nano Supported Component List] and this [https://devtalk.nvidia.com/default/topic/1048640/jetson-nano/power-supply-considerations-for-jetson-nano-developer-kit/ forum post] for more information about selecting proper power adapters for the original Jetson Nano 4GB.
 +
 +
''Recommended Micro-USB Power Supplies''
 
* Adafruit [https://www.adafruit.com/product/1995 GEO151UB] (5V⎓2.5A MicroUSB adapter)
 
* Adafruit [https://www.adafruit.com/product/1995 GEO151UB] (5V⎓2.5A MicroUSB adapter)
* Adafruit [https://www.adafruit.com/product/1466 GEO241DA-0540] (5V⎓4A DC barrel jack adapter)
 
 
* GeekPi [https://www.amazon.com/dp/B07CYZ9GZZ ABT025050] (5V⎓2.5A MicroUSB Adapter with ON/OFF Switch)
 
* GeekPi [https://www.amazon.com/dp/B07CYZ9GZZ ABT025050] (5V⎓2.5A MicroUSB Adapter with ON/OFF Switch)
 
* Pwr+ [https://www.amazon.com/dp/B00L88M8TE PWR-TA05035N] (5V⎓3.5A MicroUSB AC Adapter)
 
* Pwr+ [https://www.amazon.com/dp/B00L88M8TE PWR-TA05035N] (5V⎓3.5A MicroUSB AC Adapter)
 
* Raspberry Pi [https://www.raspberrypi.org/products/raspberry-pi-universal-power-supply/ DSA-13PFC-05 FCA 051250] (5.1V⎓2.5A Universal MicroUSB Power Supply)
 
* Raspberry Pi [https://www.raspberrypi.org/products/raspberry-pi-universal-power-supply/ DSA-13PFC-05 FCA 051250] (5.1V⎓2.5A Universal MicroUSB Power Supply)
  
==== Battery Packs ====
+
''Recommended DC Barrel Jack Power Supplies''
 +
* Geekworm [https://www.amazon.com/dp/B07413Q5Y4 TB-458603] (5V⎓4A DC barrel jack adapter)
 +
* Adafruit [https://www.adafruit.com/product/1466 GEO241DA-0540] (5V⎓4A DC barrel jack adapter)
 +
* Sparkfun [https://www.sparkfun.com/products/14932 GST60A05] (5V⎓6A DC barrel jack adapter)
 +
 
 +
==== Jetson Nano 2GB Developer Kit ====
 +
 
 +
See the [https://developer.nvidia.com/embedded/learn/jetson-nano-2gb-devkit-user-guide#id-.JetsonNano2GBDeveloperKitUserGuidevbatuu_v1.0-SupportedComponentList Jetson Nano 2GB Supported Component List] for more information about selecting a 5V⎓3A USB-C adapter for the Jetson Nano 2GB.
 +
 
 +
* [https://www.raspberrypi.org/products/type-c-power-supply/ Raspberry Pi 4 Power Supply USB-C] (5.1V⎓3A)
 +
* [https://www.amazon.com/LABISTS-Raspberry-Supply-Charger-Adapter/dp/B07WC2HLJ9/ref=sr_1_6?dchild=1&keywords=USb+C+power+supplies&qid=1595554981&sr=8-6 LABISTS Power Supply USB-C with On/Off Switch] (5.1V⎓3A)
 +
* [https://www.amazon.com/CanaKit-Raspberry-Power-Supply-USB-C/dp/B07TYQRXTK/ref=sr_1_8?dchild=1&keywords=18W+power+supply+usb+c&qid=1595554849&sr=8-8 CanaKit Power Supply (USB-C)] (5.1V⎓3.5A)
 +
* [https://www.amazon.com/UGREEN-Charger-Delivery-iPhone-Samsung/dp/B07R7K2QMW/ref=sr_1_8?dchild=1&keywords=ugreen+usbc+power&qid=1600319683&s=electronics&sr=1-8 UGREEN USB C Charger] (5V⎓3A)
 +
 
 +
=== UPS ===
 +
* T200 [https://www.amazon.com/dp/B07VNST1F8 Geekworm 18650 UPS (5.1V/8A Output) & Power Mgnt Board Shield] or [https://geekworm.com/products/nvidia-jetson-nano18650-ups-power-management-expansion-board-t200]
 +
* T208 [https://www.amazon.com/dp/B08FT2287Q Geekwrom 6-Cell 18650 UPS (Max 5.1V 8A Output) & Power Mgnt Board with AC Power Loss Dectection & Safe Shutdown] or [https://geekworm.com/products/t208-18650-ups-max-5-1v-8a-output-power-management-expansion-board-for-nvidia-jetson-nano]
 +
 
 +
=== Battery Packs ===
  
 
* INUI [https://www.amazon.com/gp/product/B07H6LB4J4 10000mAh] (dual 5V⎓3A Micro-USB)
 
* INUI [https://www.amazon.com/gp/product/B07H6LB4J4 10000mAh] (dual 5V⎓3A Micro-USB)
 
* Krisdonia [https://www.amazon.com/dp/B076GYGR6M 25000mAh] (5V⎓3A Micro-USB / DC barrel jack)
 
* Krisdonia [https://www.amazon.com/dp/B076GYGR6M 25000mAh] (5V⎓3A Micro-USB / DC barrel jack)
  
==== Wireless ====
+
=== Wireless ===
* Edimax [https://www.edimax.com/edimax/merchandise/merchandise_detail/data/edimax/in/wireless_adapters_n150/ew-7811un/ EW-7811Un] (USB Wi-Fi wireless dongle)
+
* TP-Link [https://www.amazon.com/gp/product/B07PB1X4CN/ Archer T2U Nano] (USB dual-band AC600 WiFi dongle)
* Intel [https://www.newegg.com/Product/Product.aspx?Item=9SIAH718PH3221 8265NGW] (M.2 Key-E Wi-Fi/BT wireless card)
+
* TP-Link [https://www.amazon.com/Wireless-desktop-10-9-10-14-Archer-T2U/dp/B07P5PRK7J/ Archer T2U Plus] (USB dual-band AC600 WiFi adapter with high-gain antenna)
 +
* TP-Link [https://www.amazon.com/TP-Link-TL-WN722N-Wireless-network-Adapter/dp/B002SZEOLG/ TL-WN722N] (USB 802.11n 150Mbps WiFi adapter with high-gain antenna)
 +
* Kootek [https://kootek.com/wifi-dongle-mini-usb-wireless-adapter/ AC 600] (USB dual-band AC600 WiFi dongle)
 +
* Linksys [https://www.linksys.com/us/p/P-WUSB6300/ WUSB6300] (USB dual-band AC1200 WiFi dongle)
 +
* Intel [https://www.newegg.com/Product/Product.aspx?Item=9SIAH718PH3221 8265NGW] (M.2 Key-E WiFi/BT wireless card)
 +
* Geekworm [https://geekworm.com/products/geekworm-nvidia-jetson-nano-dual-band-wireless-usb-3-0-adapter-5ghz-2-4ghz-1200m Dual Band Wireless USB 3.0 Wi-Fi Adapter] (USB3 WiFi dongle and SMA antenna)
 +
 
 +
=== Storage ===
 +
* Geekworm [https://www.amazon.com/dp/B07T9FQ293 T300 SATA SSD/HDD Shield] (USB3 SATA shield)
 +
* Geekworm [https://www.amazon.com/dp/B088N6VZL8 T130 mSata SSD Shield] (USB3 SATA shield)
  
==== Other ====
+
=== Other ===
 
* [https://www.seeedstudio.com/Grove-Base-Hat-for-Raspberry-Pi.html Grove Base Hat for Raspberry Pi] (support Jetson Nano)
 
* [https://www.seeedstudio.com/Grove-Base-Hat-for-Raspberry-Pi.html Grove Base Hat for Raspberry Pi] (support Jetson Nano)
 
* [https://www.seeedstudio.com/Grove-Base-Hat-for-Raspberry-Pi-Zero-p-3187.html Grove Base Hat for Raspberry Pi Zero] (support Jetson Nano)
 
* [https://www.seeedstudio.com/Grove-Base-Hat-for-Raspberry-Pi-Zero-p-3187.html Grove Base Hat for Raspberry Pi Zero] (support Jetson Nano)
 +
* [https://auvidea.eu/product/heatsink-for-nvidia-jetson-nano/ Module Heatsink] (available from Auvidea)
 
* [https://www.amazon.com/NGFF-Mini-PCI-Adapter-Cable/dp/B07JFYSNVL M.2 Key-E to Mini-PCIe] (PCIe adapter)
 
* [https://www.amazon.com/NGFF-Mini-PCI-Adapter-Cable/dp/B07JFYSNVL M.2 Key-E to Mini-PCIe] (PCIe adapter)
 
* [https://www.amazon.com/gp/product/B07DZF1W55 M.2 Key-E to Key-M] (PCIe adapter)
 
* [https://www.amazon.com/gp/product/B07DZF1W55 M.2 Key-E to Key-M] (PCIe adapter)
 
* Noctua [https://noctua.at/en/nf-a4x20-5v-pwm NF-A4x20 5V PWM] (optional fan)
 
* Noctua [https://noctua.at/en/nf-a4x20-5v-pwm NF-A4x20 5V PWM] (optional fan)
 
* [[BeadaPanel#BeadaPanel_for_NVIDIA_Jetson_Dev._Board|BeadaPanel]] USB Display+WiFi+Storage 3-In-1 Companion Kit
 
* [[BeadaPanel#BeadaPanel_for_NVIDIA_Jetson_Dev._Board|BeadaPanel]] USB Display+WiFi+Storage 3-In-1 Companion Kit
 +
* [https://www.iotamy.com/20W-PoE-Module-for-Jetson-Nano 20W PoE Module for Jetson Nano] (5.2V⎓4A PoE)
  
 
See the Jetson Nano '''[https://developer.nvidia.com/embedded/dlc/jetson-nano-supported-components-list Supported Components List]''' for devices that have been qualified by NVIDIA to work with Jetson Nano.
 
See the Jetson Nano '''[https://developer.nvidia.com/embedded/dlc/jetson-nano-supported-components-list Supported Components List]''' for devices that have been qualified by NVIDIA to work with Jetson Nano.
 +
 +
=== Embedded Vision Developer Kits ===
 +
 +
The following is a list of complete bundles that are based on and include the [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit] combined with a compatible camera module as well as all drivers and system software to start developing Computer Vision projects out of the box.
 +
 +
==== [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk/ Basler Embedded Vision Development Kit for Jetson Nano] ====
 +
This Embedded Vision Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM.
 +
 +
[[File:NVIDIA Kit 1380x735px.jpg|450px|right]]
 +
==== What's included ====
 +
* Camera Model: [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa4200-30mci-s-mount/ daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps]
 +
* Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
 +
* Board: [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit]
 +
* Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
 +
* Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
 +
* Power Supply: 5V / 4A, barrel jack
 +
* Software: microSD card with pre-installed system including all drivers
 +
 +
==== Availability ====
 +
Commercially available from distributors worldwide and from [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk/ Basler].
 +
 +
==== [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk-aia/ Basler AI Vision Solution Kit for Jetson Nano] ====
 +
The AI Vision Solution Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM. It comes with the full software infrastructure for AI application development, a connection to the AWS cloud and sample programs to demonstrate AI applications that can be used as a basis to develop own AI software.
 +
 +
[[File:AI_Vision_Solution_Kit_1380x735px.jpg|450px|right]]
 +
==== What's included ====
 +
* Camera Model: [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa4200-30mci-s-mount/ daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps]
 +
* Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
 +
* Board: [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit]
 +
* Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
 +
* Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
 +
* Power Supply: 5V / 4A, barrel jack
 +
* Software: microSD card with pre-installed system including all drivers and software environment for AWS cloud connection and AI application development
 +
 +
==== Availability ====
 +
Commercially available from distributors worldwide and from [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk-aia/ Basler].
  
 
= Getting Help =  
 
= Getting Help =  

Latest revision as of 09:03, 29 October 2020

NVIDIA Jetson Nano is an embedded system-on-module (SoM) and developer kit from the NVIDIA Jetson family, including an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O. There is also the Jetson Nano 2GB Developer Kit with 2GB memory and the same processing specs.

Useful for deploying computer vision and deep learning, Jetson Nano runs Linux and provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption.

Jetson Nano is currently available as the Jetson Nano Developer Kit for $99, the Jetson Nano 2GB Developer Kit for $59, and the production compute module. See the wiki of the other Jetson's here.

  Technical BlogIntroducing the Ultimate Starter AI Computer, the NVIDIA Jetson Nano 2GB Developer Kit


Jetson Nano Developer Kit and compute module
Jetson Nano 2GB Developer Kit

Jetson Nano Developer Kit

The Jetson Nano Developer Kit is an easy way to get started using Jetson Nano, including the module, carrier board, and software. It costs $99 and is available from distributors worldwide.

Jetson Nano Developer Kit
Jetson Nano 2GB Developer Kit

There is also the Jetson Nano 2GB Developer Kit available for $59, which has 2GB memory and the same 472-GFLOPS processing performance.

What's Included

  • 80x100mm Reference Carrier Board
  • Jetson Nano Module with passive heatsink
  • Pop-Up Stand
  • Getting Started Guide

(the complete devkit with module and heatsink weighs 138 grams)

What You Will Need

Ports & Interfaces

Jetson Nano Developer Kit Jetson Nano 2GB Developer Kit
USB (4x) USB 3.0 Type-A, USB 2.0 Micro-B (1x) USB 3.0 Type-A, (2x) USB 2.0 Type-A, USB 2.0 Micro-B
Camera (2x) MIPI CSI-2 x2 (15-position Camera Flex Connector) (1x) MIPI CSI-2 x2 (15-position Camera Flex Connector)
Display HDMI 2.0, DisplayPort HDMI 2.0
Wireless M.2 Key-E (PCIe x1) 802.11ac USB dongle*
Ethernet Gigabit Ethernet (RJ45)
Storage MicroSD card slot
Other 40-pin Header - (3x) I2C, (2x) SPI, UART, I2S, GPIOs
Power Micro-USB (5V⎓2.5A) or DC barrel jack (5V⎓4A) USB-C (5V⎓3A)

* Not initially available in all regions

Getting Started

Availability

The Nano devkit and commercial module are available from distributors worldwide. Visit the Region Selector webpage to find ordering information in your area.

Software Support

See the Jetson Zoo for more software packages to install on top of JetPack.

Guides and Tutorials

This section contains recipes for following along on Jetson Nano.

System Tools

Deep Learning

See the Jetson Zoo for more resources on deploying AI and deep learning.

Robotics

Multimedia

V4L2 drivers for cameras

Design FAQs

There are some useful FAQs for Jetson Nano design, link is here.

Ecosystem Products and Sensors

The following are 3rd-party accessories, peripherals, and cameras available for Jetson Nano.

Cameras

These cameras are plug-and-play with driver support already included in JetPack-L4T:

These ecosystem cameras may require additional drivers to be installed from the vendor:

Carriers

Enclosures

3D Printable

Metal

Metal (Fanless)

Power Supplies

Jetson Nano Developer Kit

See the Jetson Nano Supported Component List and this forum post for more information about selecting proper power adapters for the original Jetson Nano 4GB.

Recommended Micro-USB Power Supplies

Recommended DC Barrel Jack Power Supplies

  • Geekworm TB-458603 (5V⎓4A DC barrel jack adapter)
  • Adafruit GEO241DA-0540 (5V⎓4A DC barrel jack adapter)
  • Sparkfun GST60A05 (5V⎓6A DC barrel jack adapter)

Jetson Nano 2GB Developer Kit

See the Jetson Nano 2GB Supported Component List for more information about selecting a 5V⎓3A USB-C adapter for the Jetson Nano 2GB.

UPS

Battery Packs

  • INUI 10000mAh (dual 5V⎓3A Micro-USB)
  • Krisdonia 25000mAh (5V⎓3A Micro-USB / DC barrel jack)

Wireless

Storage

Other

See the Jetson Nano Supported Components List for devices that have been qualified by NVIDIA to work with Jetson Nano.

Embedded Vision Developer Kits

The following is a list of complete bundles that are based on and include the Jetson Nano Developer Kit combined with a compatible camera module as well as all drivers and system software to start developing Computer Vision projects out of the box.

Basler Embedded Vision Development Kit for Jetson Nano

This Embedded Vision Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM.

NVIDIA Kit 1380x735px.jpg

What's included

  • Camera Model: daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps
  • Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
  • Board: Jetson Nano Developer Kit
  • Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
  • Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
  • Power Supply: 5V / 4A, barrel jack
  • Software: microSD card with pre-installed system including all drivers

Availability

Commercially available from distributors worldwide and from Basler.

Basler AI Vision Solution Kit for Jetson Nano

The AI Vision Solution Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM. It comes with the full software infrastructure for AI application development, a connection to the AWS cloud and sample programs to demonstrate AI applications that can be used as a basis to develop own AI software.

AI Vision Solution Kit 1380x735px.jpg

What's included

  • Camera Model: daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps
  • Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
  • Board: Jetson Nano Developer Kit
  • Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
  • Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
  • Power Supply: 5V / 4A, barrel jack
  • Software: microSD card with pre-installed system including all drivers and software environment for AWS cloud connection and AI application development

Availability

Commercially available from distributors worldwide and from Basler.

Getting Help

If you have a technical question or bug report, please visit the Jetson Nano Developer Forum and search or start a new topic.

See the official Support page on Embedded Developer Zone for warranty and RMA information.

For NVIDIA webstore Customer Service, please see the My Account page or contact 1-800-797-6530.