An open source Jetson Nano baseboard and tools to design your own.

Related tags

Deep Learninghardware
Overview

My Jetson Nano Baseboard

Render of My Jetson Nano Baseboard

Picture of My Jetson Nano Baseboard

This basic baseboard gives the user the foundation and the flexibility to design their own baseboard for the Jetson Nano. It also repurposes some of the Jetson Nano’s interface signals for simple beginner projects.

This baseboard, as designed, contains:

  • A 5V, 4A DC barrel jack
  • 4 USB 2.0 connectors
  • An HDMI connector
  • A UART-to-USB bridge
  • A debug USB
  • A 40-pin GPIO
  • A servo header
  • Three user-interactive buttons (power, reset, and force recovery)
  • A flex connector for an OLED display

Use these files to kickstart your own application-specific baseboard or implement some quick and easy projects!

Quick Start

You only need a computer to get started right now! For a more in-depth setup guide, check out docs/setup.md.

  1. Install the appropriate version of KiCAD, an open source schematic and layout design program, for your operating system here.

  2. Download this GitHub repository either as a ZIP or on the command line.

  3. Save the following symbol and footprint libraries to the “Design Files/Libraries” folder (you may have to make an account – alternatively, if you want the practice, you could try making them yourself):

    1. B3SL-1002P
    2. TPD4E02B04DQAR
    3. 3-1734592-0
    4. DC-005-2.0A
    5. ACM2012-201-2P-T001
    6. 10029449-111RLF
    7. 2309413-1
  4. Open the project (.pro) file in KiCAD.

  5. Add the symbol and footprint libraries as project-specific to your KiCAD program, following this guide. You will know that the libraries are correctly loaded when there are no more boxes with question marks.

  6. You are now set up to tinker with the files and launch your own hardware designs!

Be sure to download the Jetson Nano Product Design Guide here (NVIDIA Developer account required) to help you with your design.

If you want to make your boards and test them, you’ll need the Jetson Nano module (not included, can be bought as part of the developer kit here). It is also helpful to have electronics equipment like an oscilloscope, a multimeter, and a soldering iron.

Questions and Improvements

If you have a suggestion, please open an issue on GitHub.

Please share your projects with us on the Jetson Developer Forums.

Comments
  • Servo PWM signal does not switch logic levels, remains high

    Servo PWM signal does not switch logic levels, remains high

    Problem When running the sampleproj/servo_pwm.py script, SERVO_PWM remains high, even as the GPIO07 pin outputs a PWM signal.

    Release A00, no modifications

    Observed Behavior Servo PWM remains high even when PWM script is run.

    GPIO07 at 40-pin header: gpio7 configured0

    SERVO_PWM at servo header: gpio 7

    Root Cause Theory The pullup could be too strong; the transistor connection may not be consistent across boards. This is another issue that switching to a larger package transistor should fix.

    Suggested Next Steps

    • Switch to larger package transistor (as in issue #5 & 2)
    • Test additional boards to ensure transistor connection remains consistent
    bug A01 Fix 
    opened by wolframalexa 1
  • Fails sleep/wake software cycle

    Fails sleep/wake software cycle

    Problem Board cannot be wake from software; the physical button must be pushed.

    Release A00, no modifications

    Observed Behavior When running the validation/sleep_func.sh script, the device does not wake until the power button is pushed.

    Root Cause Theory An issue with how L4T interacts with the baseboard.

    Suggested Next Steps

    • Probe power logic signals to ensure sequencing is correct
    • Read L4T documentation for power design
    bug 
    opened by wolframalexa 1
  • OLED display does not fit in specified connector

    OLED display does not fit in specified connector

    Problem The specified OLED display does not fit in the specified connector. Users cannot use the display.

    Release A00, no modifications

    Observed Behavior The connector is too small for the display.

    Root Cause Theory Mistakes were made.

    Suggested Next Steps Choose new connector for display.

    bug A01 Fix 
    opened by wolframalexa 1
  • Fan PWM signal not in compliance

    Fan PWM signal not in compliance

    Problem Users cannot use a fan, because the fan PWM signal is not in electrical compliance.

    Observed Behavior GPIO14 provides a nice PWM signal, but the signal becomes less crisp as it goes through the level shifter. In both images below, the blue line is the FAN_PWM_LS node. Yellow: left = GPIO14, right = FAN_PWM_INV.

    image image

    The transistor Q3 should invert the PWM signal, but does not appear to do so.

    Root Cause Theory At 20kHz, it is unlikely the fan signal is switching too fast for the transistor. It may be due to a transistor misalignment; switch from the DMN26D0UFB4-7 to the DMN26D0UT-7, which is in a larger SOT-523 package, to avoid misalignments.

    Suggested Next Steps Ask a more experienced engineer. May need a larger pullup, or more power control.

    bug A01 Fix 
    opened by wolframalexa 1
  • Some USB 2.0 type A ports are not functional

    Some USB 2.0 type A ports are not functional

    Problem Some USB ports on some boards do not respond when a USB mouse or keyboard is plugged into them.

    Observed Behavior When a USB mouse or keyboard is plugged into one of the four type A ports, it occasionally does not work (the pointer does not move, no text appears on screen). This hinders the ability for the user to interact with the display, and to use the USB devices they need.

    Root Cause Theory This is only present on some ports on some boards; it could be a manufacturing or hub chip error.

    Suggested Next Steps

    • Visually check all USB components to ensure there is no damage
    • Ensure hub chip is strapped correctly
    • Ensure USB layout guidelines are followed for signal integrity
    bug A01 Fix 
    opened by wolframalexa 1
  • Low-resolution HDMI (1280x720)

    Low-resolution HDMI (1280x720)

    Problem The maximum HDMI resolution seems to be 1280x720, whereas the Jetson Nano achieves a resolution of 2560x1440. As a result, the display appears zoomed in.

    Release A00, no modifications

    Observed Behavior

    • This is present on all boards, with the same module as on the official baseboard - probably a hardware design issue, and not a software issue
    • The resolution on the official Jetson Nano is twice that of "My Jetson Nano Baseboard"

    Root Cause Theory Resistor values may need to be tuned for better resolutions. Additionally, an EEPROM may be read to confirm HDMI resolution.

    Suggested Next Steps Investigate L4T behavior with regard to HDMI and resistor tuning on CEC line.

    bug A01 Fix 
    opened by wolframalexa 1
  • Power LED does not light up on some boards

    Power LED does not light up on some boards

    Problem On some boards, the power LED D6 does not light, even though the board completes its power-on sequence and has booted normally.

    Release A00, no modifications

    Observed Behavior

    • The LED is the correct direction
    • The board completes its power on sequence and the software functions as expected
    • GPIO04 remains LOW at 0.6V, even though it should be driven HIGH upon power-up
    • There is no measured voltage drop across R32
    • There is an insufficient voltage drop across D6

    Root Cause Theory The gate threshold voltage varies depending on the individual transistor. It could be that this transistor has a higher V_GS and does not turn on when GPIO04 is at 0.6V. Additionally, the transistor Q7 could be misaligned.

    Suggested Next Steps

    • Investigate behavior of GPIO04, which should be HIGH upon power-on. Remove R31 to ensure no loading effects from transistor.
    • Change all transistors DMN26D0UFB4-7 to the DMN26D0UT-7, which is in a larger SOT-523 package, to avoid misalignments.
    bug A01 Fix 
    opened by wolframalexa 1
  • Make silkscreen more readable

    Make silkscreen more readable

    • Increase silkscreen size from 0.5x0.5mm to 0.438x0.7mm to make the text more readable.
    • Add polarity for all ICs and polarized components to aid in soldering
    • Add silkscreen on front for 40-pin header
    enhancement A01 Fix 
    opened by wolframalexa 0
Releases(A01)
  • A01(Aug 12, 2021)

    After having manufactured the boards and validated them, we're fixing some functionality. Here are the changes, which you can read about in our issues:

    • Fix footprints (#11):
      • DC Jack flipped
      • GPIO header flipped (pin 1 should be pin 2)
      • USB footprint with soldermask (#4)
      • New OLED display connector & display (#6)
    • Usability enhancements, with more readable silkscreen (#10)
    • BOM errors:
      • SODIMM connector (#9)
      • HDMI current limiting resistor, which allows for correct resolution (#3)
      • Larger transistor footprint to avoid misalignments (#8, #5)
    • Fix pullup
      • Add pullup to GPIO04 (#2)
    Source code(tar.gz)
    Source code(zip)
  • A00(Jul 28, 2021)

Owner
NVIDIA AI IOT
NVIDIA AI IOT
Neural-net-from-scratch - A simple Neural Network from scratch in Python using the Pymathrix library

A Simple Neural Network from scratch A Simple Neural Network from scratch in Pyt

Youssef Chafiqui 2 Jan 07, 2022
Official implementation for paper Render In-between: Motion Guided Video Synthesis for Action Interpolation

Render In-between: Motion Guided Video Synthesis for Action Interpolation [Paper] [Supp] [arXiv] [4min Video] This is the official Pytorch implementat

8 Oct 27, 2022
This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

Official Pytorch Implementation for GLFC [CVPR-2022] Federated Class-Incremental Learning This is the official implementation code of our paper "Feder

Race Wang 57 Dec 27, 2022
The Official Repository for "Generalized OOD Detection: A Survey"

Generalized Out-of-Distribution Detection: A Survey 1. Overview This repository is with our survey paper: Title: Generalized Out-of-Distribution Detec

Jingkang Yang 338 Jan 03, 2023
Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"

ood-text-emnlp Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them" Files fine_tune.py is used to finetune the GPT-2 mo

Udit Arora 19 Oct 28, 2022
Pytorch code for "Text-Independent Speaker Verification Using 3D Convolutional Neural Networks".

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

Amirsina Torfi 114 Dec 18, 2022
Generative Modelling of BRDF Textures from Flash Images [SIGGRAPH Asia, 2021]

Neural Material Official code repository for the paper: Generative Modelling of BRDF Textures from Flash Images [SIGGRAPH Asia, 2021] Henzler, Deschai

Philipp Henzler 80 Dec 20, 2022
A Pytorch Implementation of Domain adaptation of object detector using scissor-like networks

A Pytorch Implementation of Domain adaptation of object detector using scissor-like networks Please follow Faster R-CNN and DAF to complete the enviro

2 Oct 07, 2022
Development kit for MIT Scene Parsing Benchmark

Development Kit for MIT Scene Parsing Benchmark [NEW!] Our PyTorch implementation is released in the following repository: https://github.com/hangzhao

MIT CSAIL Computer Vision 424 Dec 01, 2022
QuakeLabeler is a Python package to create and manage your seismic training data, processes, and visualization in a single place — so you can focus on building the next big thing.

QuakeLabeler Quake Labeler was born from the need for seismologists and developers who are not AI specialists to easily, quickly, and independently bu

Hao Mai 15 Nov 04, 2022
Pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

About this repository This repo contains an Pytorch implementation for the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Netwo

wxDai 7 Oct 14, 2022
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks Stable Neural ODE with Lyapunov-Stable Equilibrium

Kang Qiyu 8 Dec 12, 2022
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

3D Infomax improves GNNs for Molecular Property Prediction Video | Paper We pre-train GNNs to understand the geometry of molecules given only their 2D

Hannes Stärk 95 Dec 30, 2022
Tensor-Based Quantum Machine Learning

TensorLy_Quantum TensorLy-Quantum is a Python library for Tensor-Based Quantum Machine Learning that builds on top of TensorLy and PyTorch. Website: h

TensorLy 85 Dec 03, 2022
PyTorch code of paper "LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering"

LiVLR-VideoQA We propose a Lightweight Visual-Linguistic Reasoning framework (LiVLR) for VideoQA. The overview of LiVLR: Evaluation on MSRVTT-QA Datas

JJ Jiang 7 Dec 30, 2022
[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code :star2:. Semi-supervised video object segmentation evaluation.

MiVOS (CVPR 2021) - Mask Propagation Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang [arXiv] [Paper PDF] [Project Page] [Papers with Code] This repo impleme

Rex Cheng 106 Jan 03, 2023
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight)

About Code release for Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy (ICLR 2022 Spotlight)

THUML @ Tsinghua University 221 Dec 31, 2022
Code for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in Deep Latent Space"

SRHEN This is a better and simpler implementation for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in

1 Oct 28, 2022
A Deep Learning based project for creating line art portraits.

ArtLine The main aim of the project is to create amazing line art portraits. Sounds Intresting,let's get to the pictures!! Model-(Smooth) Model-(Quali

Vijish Madhavan 3.3k Jan 07, 2023
This YoloV5 based model is fit to detect people and different types of land vehicles, and displaying their density on a fitted map, according to their coordinates and detected labels.

This YoloV5 based model is fit to detect people and different types of land vehicles, and displaying their density on a fitted map, according to their

Liron Bdolah 8 May 22, 2022