Connecting the Arducam Quad 12MP (IMX477) Color Camera
- Use the built-in camera driver on Raspberry Pi 4 (Bullseye)
sudo nano /boot/config.txt #Find the line: camera_auto_detect=1, update it to: camera_auto_detect=0 dtoverlay=imx477 #Save and reboot.
- Control the Camarray HAT via I2C
# Set to single channel 0 i2cset -y 10 0x24 0x24 0x02 # Set to single channel 1 i2cset -y 10 0x24 0x24 0x12 # Set to single channel 2 i2cset -y 10 0x24 0x24 0x22 # Set to single channel 3 i2cset -y 10 0x24 0x24 0x32 # Set to double channel (single channel 0 and single channel 1) i2cset -y 10 0x24 0x24 0x01 # Set to double channel (single channel 2 and single channel 3) i2cset -y 10 0x24 0x24 0x11 # Set to four in one mode (Default) i2cset -y 10 0x24 0x24 0x00
- Camera control - Libcamera
- Installation (Quick Start - Arducam Wiki )
- How to use built in app(libcamera and libcamera-apps - Arducam Wiki)
- Libcamera C++ example(GitHub - edward-ardu/libcamera-cpp-demo: libcamera c++ demo )

- Streaming using GStreamer(pi to PC)
Troubleshooting
V4L2 driver for arducam IMX477.
jamesyeon@raspberrypi:~ $ dmesg | grep -E "imx477|imx219|arducam"~ [ 8.425914] imx477 10-001a: Device found is imx477 [ 8.426711] imx477 10-001a: Consider updating driver imx477 to match on endpoints
Cannot Allocate Memory
sudo nano /boot/cmdline.txt
console=serial0,115200 console=tty1 root=PARTUUID=6ad9d548-02 rootfstype=ext4 fsck.repair=yes rootwait quiet splash plymouth.ignore-serial-consoles cma=400M
Test code
Observed limitations of Arducam + commercial embedded cameras
- Common boards like Jetson Nano or Raspberry Pi are basically evaluation kits: a CPU chip plus lots of I/O for development.
- For real applications, you usually need a custom SoM (System-on-Module) design using the target chip.
- (Reference: AMD-Xilinx materials)
- Many embedded / machine-vision camera makers rely on kernel drivers provided by Linux for camera communication and image acquisition.
- Because drivers vary across Linux distributions and versions (Ubuntu vs Debian, etc.), you must confirm support and build your environment accordingly.
- With Arducam Camarray HAT, the practical maximum is 4 cameras per board.
- It’s difficult to increase this. Even with 4 cameras, the system typically acquires frames sequentially and the Camarray HAT stitches 12MP images in memory and outputs them as if they were from a single camera.
- To increase or decrease camera count, hardware modification is required.
- Original image O + defect detection data O
- Original image X + defect detection data O
Streaming with GStreamer
dpkg -l | grep gstream
# install a missing dependency $ sudo apt-get install libx264-dev libjpeg-dev # install the remaining plugins $ sudo apt-get install libgstreamer1.0-dev \ libgstreamer-plugins-base1.0-dev \ libgstreamer-plugins-bad1.0-dev \ gstreamer1.0-plugins-ugly \ gstreamer1.0-tools \ gstreamer1.0-gl \ gstreamer1.0-gtk3 # if you have Qt5 install this plugin $ sudo apt-get install gstreamer1.0-qt5 # install if you want to work with audio $ sudo apt-get install gstreamer1.0-pulseaudio
gst-launch-1.0 libcamerasrc ! video/x-raw, width=640, height=480, framerate=30/1 ! videoconvert ! videoscale ! clockoverlay time-format="%D %H:%M:%S" ! autovideosink ! tcpserversink port=8888 host=localhost
gst-launch-1.0 -v azurekinectsrc ! videoconvert ! x264enc key-int-max=12 byte-stream=true ! mpegtsmux
UDP streaming example (image streaming)
gst-launch-1.0 -v libcamerasrc ! video/x-raw,width=640,height=480 ! videoconvert ! jpegenc ! rtpjpegpay ! udpsink host=172.18.1.0 port=5000
gst-launch-1.0 udpsrc port=5000 ! application/x-rtp,encoding-name=JPEG,payload=26 ! rtpjpegdepay ! jpegdec ! autovideosink
Cable extension attempt
- Introduction page : MIPI CSI 2 to HDMI Converter Board & Extension
Related posts
Axelera AI's large investment attraction: Reasons why European AI semiconductors are gaining attention again
Mar 9, 2026
Dutch AI semiconductor startup Axelera AI has secured an investment of $250 million. This news goes beyond simple funding; it reaffirms the presence of European AI semiconductor startups and the growth potential of the edge semiconductor market for AI inference. I summarized why Axelera AI is gaining attention and what this investment means for the industrial AI and machine vision sectors.
GenFeA: Lowering Barriers to Machine Vision Integration
Jan 11, 2026
The EMVA GenIcam group presented GenFeA, which makes camera integration easier in embedded and heterogeneous architectures. Let's take a look at the details and prospects.
Computer Vision in the World Cup: From Goal-Line Decisions to Semi-Automated Offside
Jul 6, 2026
World Cup officiating technology is moving beyond simple video review and turning stadiums into real-time data spaces. This post explains how goal-line technology, semi-automated offside, connected-ball data, and optical tracking systems help improve both fairness and the flow of the game.

