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Quick Start Guide

Abstract

This page is mainly designed and developed for the Quick Start Guide of Arducam cameras on NVIDIA Jetson Nano/Xavier NX/Orin Nano/Orin NX. For another NVIDIA Jetson Platforms, please refer to the following index to land in the corresponding pages:

Quick Start Guide for Arducam Cameras on NVIDIA Jetson AGX Orin

Hardware Connection

Camera for NVIDIA Jetson Nano/Xavier NX

Click to Expand
  • Locate the camera connector (CSI). It’s on the side of the carrier board, opposite to the GPIO pins.
  • Pull up on the plastic edges of the camera port. Do it gently to avoid pulling it off.
  • Push in the camera ribbon. Make sure the contacts are facing the heatsinks. Do not bend the flex cable, and make sure it’s firmly inserted into the bottom of the connector.
    • Ribbon Cable Contacts – 15pin-15pin Silver Contacts facing inside to the heatsinks Ribbon cable fully inserted to the bottom of the CSI connector
  • Push the plastic connector down. Do it while holding the flex cable until the connector is back in place.

Camera for NVIDIA Orin Nano/Orin NX

  • Locate the camera connector (CSI). It’s on the side of the carrier board, opposite to the GPIO pins.
  • Pull up on the plastic edges of the camera port. Do it gently to avoid pulling it off.
  • Push in the camera ribbon. Make sure the contacts are facing the heatsinks. Do not bend the flex cable, and make sure it’s firmly inserted into the bottom of the connector.
  • Push the plastic connector down. Do it while holding the flex cable until the connector is back in place.

Diagram - NVIDIA Jetson Orin Nano

15pin-22pin FPC Cable

NVIDIA Jetson Orin Nano 15-22pin

22pin-22pin FFC Cable

NVIDIA Jetson Orin Nano 22-22pin

Diagram - NVIDIA Jetson Orin NX

15pin-22pin FPC Cable

NVIDIA Jetson Orin NX 15-22pin

22pin-22pin FFC Cable

NVIDIA Jetson Orin NX 22-22pin

Software

Supported Platforms and JetPack L4T versions

Please refer to the following doc page for specific supported Platforms and JetPack versions of different NVIDIA Jetson Platforms:

Supported Platforms and JetPack Version - Arducam Camera for NVIDIA Jetson


Install Driver

For the Arducam Jetvariety Camera, you need to execute the following steps:

Jetvariety camera Board list:

Resolution Camera Module
0.3MP OV7251
2MP OV2311
1MP OV9281
2.3MP AR0234
18MP AR1820
21MP IMX230

Note

Before you install the Jetvariety driver, please refer to the Jetpack supported version. Kindly note if your Jetpack version is not in the list of it, you need to re-burn your OS to the supported Jetpack version.

Step 1. Download the bash scripts

cd ~
wget https://github.com/ArduCAM/MIPI_Camera/releases/download/v0.0.3/install_full.sh

Step 2. Install the driver

chmod +x install_full.sh
./install_full.sh -m arducam

Use arducam_displayer app to access camera

1.Check and validate the camera connection

Make sure you have installed the camera driver before you proceed.

  • Check whether the camera is detected
ls /dev/video*

You should find new video devices from /dev/videoX (X might vary from 0 ~ N).

  • Check the video format supported

Install the v4l-utils package:

sudo apt-get install v4l-utils

Determine which format and resolution the current camera supported：

v4l2-ctl --list-formats-ext

img

2.Run the camera

Some of the video preview software tools like VLC player only supports formats like GRAY, YUV etc., it might not support Bayer format. In this case we provide a python demo script to illustrate how to open and preview our cameras with OpenCV. In the demo code the most important three steps should be followed.

Note

The official SD Card Image provided by Nvidia comes with a Python version of OpenCV version 4.1.1.

Designate the VideoCapture apiPreference parameter as CAP_V4L2
Disable the RGB conversion
Shift the data bit to match with the camera real output bit width and do color conversion when necessary.

  • Install v4l2 python module

for Python3.x:

wget https://bootstrap.pypa.io/get-pip.py  
sudo python3 get-pip.py  
sudo pip3 install v4l2-fix

for Python2.7:

wget https://bootstrap.pypa.io/get-pip.py  
sudo python get-pip.py  
sudo pip install v4l2

Tip

If you want to install pip for both python3.x and python2.7, install python3 pip first, then python2.7 pip, otherwise the pip command will be overwritten by pip3. You can use pip -- version and pip3 --version to check if the pip version is correct.

  • Download the demo code
git clone https://github.com/ArduCAM/MIPI_Camera.git  
cd MIPI_Camera/Jetson/Jetvariety/example
  • Check the help message of the parameters
python arducam_displayer.py -d 0

parameter

  • Run the Demo
python arducam_displayer.py

3.Read the sensor register

Arducam MIPI Camera driver for Jetson Nano support accessing the registers of the camera sensor and driver board by ioctl. Refer to rw_sensor.c and rw_sensor.pyfor an example of how to use it.

  • rw_sensor.py help file

rw_sensor

  • rw_sensor.py demo

Read a single register

python rw_sensor.py -d 0 -r 0x3500

Read multiple registers

python rw_sensor.py -d 0 -r 0x3500 0x3501 0x3502

Write a single register

python rw_sensor.py -d 0 -r 0x3500 -v 0x01

Write multiple registers

python rw_sensor.py -d 0 -r 0x3500 0x3501 -v 0x01 0x02

Use Gstreamer to access camera

With camera modules in the list below, you can use Gstreamer to access the camera.

Resolution Camera Module
2MP OV2311
1MP OV9281

1.View the Pixel format

v4l2-ctl --list-formats-ext

img

2.Preview

If you want to use ssh connection, please export DISPLAY=:0

gst-launch-1.0 v4l2src device=/dev/video0 ! video/x-raw, format=GAY8, width=2560, height=800 ! videoconvert ! xvimagesink

format: Select the Pixel format (v4l2-ctl --list-formats-ext — Pixel format).

width, height:Select the resolution (v4l2-ctl --list-formats-ext — Size).

ximagesink: Preview. If does not work, please try ximagesink (xvimagesink), glimagesink, d3dvideosink (Windows).

3.Capture video

gst-launch-1.0 v4l2src device=/dev/video0 ! 'video/x-raw,format=(string)GRAY8,width=(int)2560,height=(int)800' ! nvvidconv ! 'video/x-raw(memory:NVMM), format=(string)I420' ! omxh264enc ! 'video/x-h264, stream-format=(string)byte-stream' ! h264parse ! qtmux ! filesink location=test.mp4 -e

format: Select the Pixel format (v4l2-ctl --list-formats-ext — Pixel format).

width, height:Select the resolution (v4l2-ctl --list-formats-ext — Size).

4.Streaming

4.1 Streaming Sever
gst-launch-1.0 v4l2src device=/dev/video0 ! video/x-raw,format=GRAY8,width=2560,height=800 ! nvvidconv ! 'video/x-raw(memory:NVMM), format=(string)I420' ! omxh264enc profile=high cabac-entropy-coding=true insert-sps-pps=true iframeinterval=60 ! 'video/x-h264, level=(string)4.2, stream-format=(string)byte-stream' ! tcpserversink host=0.0.0.0 port=5001 -v
4.2 Streaming Client

Please exit the virtual machine created with anacondac， or you can install conda install gst-libav -c conda-forge

gst-launch-1.0 -v tcpclientsrc host=0.0.0.0 port=5001 ! decodebin ! fpsdisplaysink sync=false text-overlay=false

or

gst-launch-1.0 -ve tcpclientsrc host=0.0.0.0 port=5001 ! decodebin ! autovideosink

autovideosink: Preview. If does not work, please try ximagesink (xvimagesink), glimagesink, d3dvideosink (Windows).

Display in VLC

Warning

Some cameras support using VLC to capture images. But please notice that some formats will not be supported by VLC.

Before Using

Please first check if your camera formats can be supported.

# input the command to check the camera formats
sudo apt-get install -y v4l-utils
v4l2-ctl --list-formats-ext

Using VLC

Open VLC media player

VLC1

  • Display the image

Press Ctrl+C

VLC2

【Video device name】→ select "/dev/video0"→ click 【Play】.

VLC3

  • Adjust exposure, gain, and frame rate

Press Ctrl+E, drag the sliders at "Exposure", "Gain" and "Frame_rate" to make adjustments under the "v4l2 control" tab.

VLC4

Special Guide for Arducam new AR0234

In particular, for Arducam new AR0234 series, the usage will be slightly different. Please refer to the following for specific usage:

Product list

Product Image SKU Pin/Connect Type Features Lens Type Field of View(D/H/V) Focus Type IR Sensitivity
Image B0577 22/Top Color Global Shutter M12 100°(H) x 75°(V) Fixed Focus 650nm IR-cut filterr
Image B0579 22/Top Color Global Shutter M12 100°(H) x 75°(V) Fixed Focus 650nm IR-cut filterr

Install the Driver

(Only supports JetPack6.2/L4T36.4.3 and later versions)

Step 1. Download bash script

cd ~ && wget https://github.com/ArduCAM/MIPI_Camera/releases/download/v0.0.3/install_full.sh

Step 2. Install the driver

chmod +x install_full.sh
./install_full.sh -m arducam_4lane

When the following prompt pops up, press y and press Enter to reboot the device

Step 3. Install v4l2

sudo apt-get install v4l-utils

Step 4. Install openCV

sudo apt install nvidia-opencv-dev

Step 5. Check Resolution

v4l2-ctl --list-formats-ext

Dual AR0234 Camera Module:

Single AR0234 Camera Module:

  • Dual AR0234 Camera - Demonstration

Product Image SKU Pin/Connect Type Features Lens Type Field of View(D/H/V) Focus Type IR Sensitivity
Image B0577 22/Top Color Global Shutter M12 100°(H) x 75°(V) Fixed Focus 650nm IR-cut filter

Download the Demo

git clone https://github.com/ArduCAM/ArducamUVCPythonDemo.git

Run the demo

The default resolution is 3840x1200

cd ~/ArducamUVCPythonDemo && python3 arducam_demo.py -v 3

Switch Resolution to 2560x720

python3 arducam_demo.py -W 2560 -H 720 -v 3

Switch Resolution to 1280x480

python3 arducam_demo.py -W 1280 -H 480 -v 3

Save the Image

Open the preview interface and press the s key to save the image, and the q key to exit the screen interface

  • Single AR0234 Camera - Demonstration

Product Image SKU Pin/Connect Type Features Lens Type Field of View(D/H/V) Focus Type IR Sensitivity
Image B0579 22/Top Color Global Shutter M12 100°(H) x 75°(V) Fixed Focus 650nm IR-cut filterr

Download the Demo

git clone https://github.com/ArduCAM/ArducamUVCPythonDemo.git

Run the Demo

The default resolution is 640x480

cd ~/ArducamUVCPythonDemo && python3 arducam_demo.py -v 3

Switch Resolution to 1280x720

python3 arducam_demo.py -W 1280 -H 720 -v 3

Switch Resolution to 1920x1200

python3 arducam_demo.py -W 1920 -H 1200 -v 3

Save the Image

Open the preview interface and press the s key to save the image, and the q key to exit the screen interface


Special Guide for Arducam AR0822

In particular, for Arducam AR0822 series, the usage will be slightly different. Please refer to the following for specific usage:

Product list

Product Image SKU Pin/Connect Type Features Lens Mount Field of View(D/H/V) Focus Type IR Sensitivity
Image B0586 22/Top 4K HDR M12 145°(D)×120°(H)×65°(V) Fixed Focus 650nm IR-cut filterr

Install the Driver

(Only supports JetPack6.2/L4T36.4.3 and later versions)

Step 1. Download bash script

cd ~ && wget https://github.com/ArduCAM/MIPI_Camera/releases/download/v0.0.3/install_full.sh

Step 2. Install the driver

chmod +x install_full.sh
./install_full.sh -m arducam_4lane

When the following prompt pops up, press y and press Enter to reboot the device

Step 3. Install v4l2

sudo apt-get install v4l-utils

Step 4. Install openCV

sudo apt install nvidia-opencv-dev

Step 5. Check Resolution

v4l2-ctl --list-formats-ext

arducam_wiki_nvidia_ar0822_jetvariety_picture_1

Download the Demo

git clone https://github.com/ArduCAM/ArducamUVCPythonDemo.git

Run the demo

3840x2160@15fps:

cd ~/ArducamUVCPythonDemo
python3 arducam_demo.py -W 3840 -H 2160 -v 3

arducam_wiki_nvidia_ar0822_jetvariety_picture_2

Switch Resolution to 1920x1080

1920x1080@60fps:

cd ~/ArducamUVCPythonDemo
python3 arducam_demo.py -W 1920 -H 1080 -v 3

arducam_wiki_nvidia_ar0822_jetvariety_picture_3

Switch Resolution to 1280x720

1280x720@60fps:

cd ~/ArducamUVCPythonDemo
python3 arducam_demo.py -W 1280 -H 720 -v 3

arducam_wiki_nvidia_ar0822_jetvariety_picture_4

Switch Resolution to 640x480

640x480@60fps:

cd ~/ArducamUVCPythonDemo
python3 arducam_demo.py -W 640 -H 480 -v 3

arducam_wiki_nvidia_ar0822_jetvariety_picture_5

Save the Image

Open the preview interface and press the s key to save the image, and the q key to exit the screen interface