Jetson Orin Nano setup
Compared to Jetson Nano it also has
- M2 SSD which is 10x faster on write speeds, crucial in video management
Jetson Orin Nano Developer Kit Carrier Boardβ
Camera | 2x MIPI CSI-2 22-pin Camera Connectors |
---|---|
M.2 Key M | x4 PCIe Gen3, 2280 |
M.2 Key M | x2 PCIe Gen3, 2242 |
M.2 Key E | PCIe (x1), USB 2.0, UART, I2S, and I2C |
USB | Type A: 4x USB 3.2 Gen2, Type C: 1x for Debug and Device Mode |
Networking | 1x GbE Connector |
Display | DisplayPort 1.2 (+MST) |
microSD slot | UHS-1 cards up to SDR104 mode |
Others | 40-pin Expansion Header (UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, DC power jack |
Dimensions | 100 mm x 79 mm x 30 mm(Height includes feet, carrier board, module, and thermal solution) |
POWER | 4AMP 19V |
Installationβ
- Make sure to have host machine Ubuntu v22. Higher versions will not work with SDK
- Install Nvidia SDK manager
- Under Jetson CPU chip, connect
FC REC
andGND
pins to run device in reset mode - Connect USB-C port of the jetson with USB3 port of your host machine. Prefer fast cables, as USB-2 cable will be very slow
- Run Jetson
- Run NVidia SDK manager, that should detect the device
- Check almost all checkboxes
- After half of the installation is complete, SDK will ask about
IP
.- You now need to login into jetson (so connect display, mouse, keyboard)
- Attach ethernet cable to jetson or connect via wifi. Run
ifconfig
and get its IP. - Make sure host machine and jetson are in the same network
- In SDK manager, enter jetson IP so that it can install remaining software
Performanceβ
Model | FPS |
---|---|
PeopleNet (V2.5) | 118 |
Action Recognition 2D | 366 |
Action Recognition 3D | 26 |
LPR Net | 993 |
Dashcam Net | 405 |
BodyPose Net | 137 |
Docker engine issuesβ
Use this to fix startup
sudo update-alternatives βconfig iptables