1. Home
  2. Docs
  3. Jetson Cameras
  4. Multiple cameras on the Jetson Nano
  5. Camarray-Arducam 1MP Quadrascopic Camera Bundle Kit

Camarray-Arducam 1MP Quadrascopic Camera Bundle Kit

Datasheet for Arducam 1MP Quadrascopic Camera Bundle Kit


​This Arducam quadrascopic camera bundle incorporates four 1MP OV9281 global shutter cameras, and the cutting-edge MIPI stereo camera breakthrough from Arducam – The Arducam Camarray HAT. As the upgraded version of Arducam Synched Stereo Camera HAT, the Camarray further pushes the multi-camera limits and doubles the interfacing capabilities to allow 4 synchronized MIPI camera modules to be interfaced to a single MIPI CSI-2 slot on prevailing single-board computers like Raspberry Pi, Jetson Nano, and Jetson Xavier NX.

​Also, as the Camarray HAT releases, Arducam starts to support a variable baseline for stereo camera applications with some modified Arducam camera modules, such as those OV9281 ones included in this bundle. Since no shared camera board or clock-sharing soldering is required for the image sensors, you can kick off your prototyping for stereo camera applications and then decide the optimal baseline. Arducam also accepts subsequent customizations for your stereo camera applications.

What is Camarray

Camarray is a series of embedded stereo cameras and multiple camera solutions from Arducam. Upgraded from Arducam Sync Stereo Camera HAT, the Camarry can disguise up to 4 synched camera modules as a single camera slot connection to embedded systems like the Raspberry Pi, Jetson nano, and Xavier NX. With Arducam camarray, your camera connectivities are no longer limited to the camera connectors on the motherboard or the carrier board. Along with Arducam-provided camera drivers, more flexibility is added to your multi-camera applications.

Common Specs

Image sensor

Sensor ModelOV9281
Shutter TypeGlobal Shutter
Active Pixels1280*4×800
Image Sensor FormatType 1/4″
Pixel Size3μm×3μm
Color Filter ArrayNone(Monochrome)
9281block diagam
OV9281 Block Diagram

Lens Assembly

Focus TypeManual Focus
Focusing Range30cm to infinity (when focused to infinity)
Effective Focal Length(EFL)2.8 mm
Field of View(FoV)70° Horizontal
Lens MountM12 Lens
IR SensitivityNo IR filter (sensitive to IR light)
2311stero camera lens 3d


HAT Size65×56 mm
Camera Board Size40×40 mm
UC 512.Rev .C DIM 01
HAT Mechanical Drawing
Mechanical Drawing ov9281

OV9281 Camera Board Mechanical Drawing

Pin No.Pin NameTypeDescription
13V3Power3.3V power supply
2FSINInputFrame Sync Input
3STBOutputLED Strobe Output
53V3Power3.3V power supply
6SDAI/OSCCB serial interface data I/O
7SCLInputSCCB serial interface clock input

Connector & Cable

Connector InterfaceMIPI CSI-2 15-pin 2-lane
Ribbon Cable Length150mm (22-pin), 300mm(15-22pin), 73mm(15-22pin)
Pin No.Pin NameTypeDescription
2CAM_D0_NOutputMIPI Data Lane 0 Negative
3CAM_D0_POutputPixel Data Lane0 Positive
5CAM_D1_NOutputMIPI Data Lane 1 Negative
6CAM_D1_POutputMIPI Data Lane 1 Positive
8CAM_CK_NOutputMIPI Clock Lane Negative
9CAM_CK_POutputMIPI Clock Lane Positive
11CAM_IO0InputPower Enable
12CAM_IO1InputLED Indicator
13CAM_SCLBidirectionI2C SCL
14CAM_SDABidirectionI2C SDA
15CAM_3V3Power3.3V Power Input

Driver Performance (With Official V4L2 Driver)

Video FormatGERY(8-bit)/Y10P(10-bit)
Output Interface2-lane MIPI serial output
Output Formats8/10-bit BW RAW
Frame Rates[email protected]*4 × 800(on RPi)
[email protected]*4 × 800(on Jetson)
Quick Start Guide for Arducam 1MP*4 Quadrascopic Camera Bundle Kit


Same operation on Xavier NX. The only difference is the driver package.

Hardware Setup​​​​

B0267 04L
B0267 02 1
The HAT can be plugged into a Jetson Nano and powered by GPIO.

Install the driver

1.Check system version

#Check the L4T version

  1. cat /etc/nv_tegra_release
Check the L4T version
From the example above, its L4T vision is R32 4.3

#Check the kernel version

  1. uname -a
Check the kernel version
From the example above, its kernel vision is 4.9.140

2.Download Arducam driver package

Open the link below:https://github.com/ArduCAM/MIPI_Camera/tree/master/Jetson/Jetvariety/driver

Depending on the hardware platform and system version currently in use, find the corresponding driver.

Download the driver package1
Download the driver package2
Download the driver package3

Download it and put it under the root directory.

root library

3.Install Arducam driver package

Then type the following command to install the V4L-utils The driver package name (.deb) should be changed according to the actual download.

  1. sudo dpkg -i arducam-nvidia-l4t-kernel_4.9.140-32.4.3-20200716095813_arm64.deb
install driver package

4.Install V4L-utils package

  1. sudo apt-get install v4l-utils
install v4l driver

First Use

1.Install V4L2 python module

for Python3.x:

wget https://bootstrap.pypa.io/get-pip.py
Install V4L2 python module1

After you type the following command and press【Enter】, it will take several minutes to finish downloading.

sudo python3 get-pip.py
Install V4L2 python module2
Install V4L2 python module3
sudo pip3 install v4l2
Install V4L2 python module4


The V4L2 of Python3.x has a known bug that requires a manual fix, and the following error occurs when you import the v4l2 module into Python3.x:

Install V4L2 python module5

You can refer to this link to fix this bug:


2.Download the demo code

git clone https://github.com/ArduCAM/MIPI_Camera.git  
Download the demo code1
Download the demo code2

3.Check whether the camera is detected

ls /dev/video0
Check whether the camera is detected1

4.Check the video format supported

v4l2-ctl --list-formats-ext
Check the video format supported1

5.Display images in real time

If accessing Jetson via remote software (e.g., MobaXterm), the following command (executed only once) is required to display the image.

export DISPLAY=:0.0
Display images in real time1

Enter program directory: 

cd MIPI_Camera/Jetson/Jetvariety/example/
Display images in real time2

Quadrascopic OV9281 camera currently supports the following commands:


python3 arducam_displayer.py -f GREY --width 5120 --height 800 -d 0

​GREY for RAW8.

​-w and -h indicate the width and height of the input image.

Display images in real time3
nano 4pic b0267

Press Ctrl+C to exit image display.

Dropped frame?

Select Arducam/arducam_displayer_ext2.py, right-click on “open with Text Editor“.

dropped frame1

The circled value below represents the number of column in the display resolution. Try making the value lower if the frame is dropped.

dropped frame2

Display the image via VLC media player

Since the VLC column resolution could only be set to 4096 max, and the HAT outputs 5120×800, the VLC couldn’t display the image.

vlc nano b0267

Display the image via mplayer media player

1.Install mplayer

sudo apt-get install mplayer

2.Display image

mplayer tv:// -tv driver=v4l2:device=/dev/video0


Do not enter this command remotely, otherwise it will be stuck.

nano pic mplayer b0267

Or enter the following command to zoom the image. The image will appear full, but it will become stuck.

mplayer tv:// -tv driver=v4l2:device=/dev/video0 -zoom -x 1280 -y 200

“-x” “- y” denotes the width and height of the scaled image, and it is recommended to modify them in equal proportion.

nano mplayer pic zoom b0267

What’s Next

Here are the things you can do after this quick start:

  • Check the Application Note for applications like using Arducam userland MIPI camera drivers.
  • Join the discussion in our forum.
Application Note for Arducam 1MP Quadrascopic Camera Bundle Kit

Use with Arducam USB3.0 32b Camera Shield


Please strictly follow the installation and operation order below, otherwise errors will occur!

1.Download File here.

2.Connect the camera module to the HAT then connect HAT to the USB Camera Shield in the case of a total power failure.

3.Power the HAT through micro USB port,then power the USB Camera Shield.

4.Run USBTest

USB test

5.Scan and select the camera device number

scan and select device0

5.Select CfgFile


6.Click 【load】- Click【open】

7.Power down the HAT then power the HAT.


scan and select device

Was this article helpful to you? Yes No