Introduction
This Arducam IMX477 High Quality motorized focus camera module integrates a motor that could be controlled by software for a smarter focus, and you will no longer focus the camera by screwing the lens with your bare hands.
So how has software focus control made it more convenient? Here is an idea: Arducam provides you with an example program to control the focusing motor with keyboard keys, so you can focus the camera remotely with precision in an intuitive way. In another example powered by OpenCV, algorithms are used to control the motor and achieve autofocus.
Other than its motorized focus, it offers the same picture quality and camera controls as the Raspberry Pi High Quality camera.
To learn more about autofocus with Raspberry Pi camera modules, we recommend you read Raspberry Pi Camera Autofocus: The Complete Guide.
Common Specs
Image sensor
| Sensor Model | IMX477 |
| Shutter Type | Rolling Shutter |
| IR Sensitivity | Visible light |
| Active Pixels | 4056×3040 |
| Resolution | 12 MP |
| Image Sensor Format | 1/2.3″ |
| Pixel Size | 1.55μm×1.55μm |
Lens
| F/NO | 2.0 |
| Focus Type | Motorized Focus |
| Lens Focal Length | 3.24mm |
| Field of View(FoV) | 87° (H) |
| Back Focal Length | 7.53mm |
| Lens Dimention | Φ16×18mm |
Connector & Cable
| Camera Connector | MIPI CSI-2 22-pin |
| Cable Length | 300mm (22-pin), 300mm(15-22pin) |
| Pin # | Name | Type | Description |
|---|---|---|---|
| 1 | GND | Ground | Power Ground |
| 2 | CAM_D0_N | Output | Pixel Data Lane0 Negative |
| 3 | CAM_D0_P | Output | Pixel Data Lane0 Positive |
| 4 | GND | Ground | Power Ground |
| 5 | CAM_D1_N | Output | Pixel Data Lane1 Negative |
| 6 | CAM_D1_P | Output | Pixel Data Lane1Positive |
| 7 | GND | Ground | Power Ground |
| 8 | CAM_CK_N | Output | Pixel Clock Output Form Sensor Negaitive |
| 9 | CAM_CK_P | Output | Pixel Clock Output Form Sensor Positive |
| 10 | GND | Ground | Power Ground |
| 11 | CAM_D2_N | Output | Pixel Data Lane2 Negative |
| 12 | CAM_D2_P | Output | Pixel Data Lane2 Positive |
| 13 | GND | Ground | Power Ground |
| 14 | CAM_D3_N | Output | Pixel Data Lane3 Negative |
| 15 | CAM_D3_P | Output | Pixel Data Lane3 Positive |
| 16 | GND | Ground | Power Ground |
| 17 | POWER-EN | Input | Power Enable |
| 18 | LED-EN | I/O | LED Enable/XCLK |
| 19 | GND | Ground | Power Ground |
| 20 | SCL | Input | SCCB serial interface clock input |
| 21 | SDA | I/O | SCCB serial interface data I/O |
| 22 | VCC | Power | 3.3V Power Supply |
Quick Start Guide
Hardware Setup
For Bullseye System
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=imx477 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.
You can use python OpenCV to access the autofocus of the camera, please see the follows:
Demos Function
Arducam has release 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
Download library
git clone https://github.com/ArduCAM/RaspberryPi.git
Enable i2c
cd /home/pi/RaspberryPi/Motorized_Focus_Camera sudo chmod +x enable_i2c_vc.sh ./enable_i2c_vc.sh
Press Y to reboot
Motorized_Focus_Camera_Preview.py
- 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.
AutofocusTest.py
- 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.
Usage:
Python demo
cd RaspberryPi/Motorized_Focus_Camera/python/
- FocuserExample.py Example of manual focus
python FocuserExample.py -i 10
Screenshot:
- 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
C demo
cd RaspberryPi/Motorized_Focus_Camera/C/ make install make ./manualFocus
Note
You can modify the code to get a better image. The helpful links for you to modify code.
Explore more resources:
https://picamera.readthedocs.io/en/release-1.13/recipes1.html?highlight=shutter%20speed#capturing-consistent-images
https://picamera.readthedocs.io/en/release-1.13/api_camera.html#picamera
FAQ/Troubleshooting
The use of the four Raspberry Pi camera applications
FAQ about raspberry pi camera module
