Arducam 8MP IMX219 Motorized Focus Camera Modules are designed for you to control the focus via software, so you can see closer and see where you want to see.
To learn more about autofocus with Raspberry Pi camera modules, we recommend you read Raspberry Pi Camera Autofocus: The Complete Guide.
Models in this Series
There are four cameras in this series. The main differences between them are the field of view and IR sensitivity. They are the same in terms of software operation.
|SKU||Field of View||IR Sensitivity|
|B0190||77.6°D x 65°H x 51°V||NoIR|
|B0182||77.6°D x 65°H x 51°V||Visible Light|
|B0180||175°D x 145°H x 77°V||Visible Light|
|B0122||54°H x 41°V||Visible Light|
Too short camera cable?
You may need Arducam 30cm Sensor Extension Cable which extends the small camera module with a much longer distance and fit into the space-constrained environment.
|Shutter Type||Rolling Shutter|
|Active Pixels||3280 (H) × 2464 (V)|
|Image Sensor Format||Type 1/4″|
|CSI-2 Data Output||2-lane mode|
|Data Format||Raw Bayer 10bit|
IMX219 Full Datasheet
Quick Start Guide
Ensure your Raspberry Pi is turned off.
1.Locate the camera port (CSI)
For Raspberry Pi Model A & B, it’s between the HDMI and audio port of the Raspberry Pi board.
2.Gently pull up on the edges of the connector’s plastic clip and avoid pulling it off
3.Insert the ribbon cable
Make sure the metal contacts are facing the HDMI connectors. Do not bend the flex cable, and make sure it’s firmly inserted.
4.Push the plastic clip down
Do it while holding the flex cable still, until the connector’s clip is back in place.
If you are running the latest version of Raspberry Pi OS. (January 28th，2022 or later releases, Debian version:11(Bullseye)). You need to update the config file and use libcamera apps.
- For Raspberry Bullseye users running on Pi 4, please do the following:
sudo nano /boot/config.txt Find the line: camera_auto_detect=1, update it to: camera_auto_detect=0 dtoverlay=imx219 Save and reboot.
- For Bullseye users running on Pi 0 ~ 3, please also:
Open a terminal Run sudo raspi-config Navigate to Advanced Options Enable Glamor graphic acceleration Reboot your Pi
If you encounter the display issues, please also execute the following steps:
Open a terminal Run sudo raspi-config Navigate to Advanced Options Navigate to GL Driver Select GL (Full KMS) Reboot your Pi
- For Raspberry Pi Compute Module 3/4
The latest software only supports one camera at this time, CM4 uses CAM1 by default.
For the autofocus of the camera, you can use python OpenCV as follows:
Arducam has released three demos Motorized_Focus_Camera_Preview.py, Motorized_Focus_Camera_Snapshot.py and Autofocus.py
- Before running this demo, you have to install Python Dependency libraries.
sudo apt-get upgrade sudo apt install -y python3-kms++ python3-libcamera sudo apt install -y python3-pyqt5 python3-prctl libatlas-base-dev ffmpeg sudo pip3 install numpy --upgrade sudo pip3 install picamera2 opencv-python
git clone https://github.com/ArduCAM/RaspberryPi.git
cd /home/pi/RaspberryPi/Motorized_Focus_Camera sudo chmod +x enable_i2c_vc.sh ./enable_i2c_vc.sh
Press Y to reboot
- This demo supports focusing in preview mode, You can see the focus visually
- Single focus by keyboard up and down
- Run this demo is very easy , just input the “python3 Motorized_Focus_Camera_Preview.py” in the terminal.
- This demo supports auto focusing in preview mode, You can see the focus visually
- Run the demo by inputing the “python3 AutofocusTest.py” in the terminal.
- FocuserExample.py Example of manual focus
python FocuserExample.py -i 10
- AutofocusTest.py Example of autofocus
Click the ‘F’ button to achieve auto focus, click the ‘Q’ button to exit and save the picture
python3 AutofocusTest.py -i 10
You can modify the code to get a better image. The helpful links for you to modify code.
Explore more resources: