12MP IMX477 Motorized Focus Camera Module

Table Of Contents

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

IMX477 camera board — IMX477 mechanical drawing

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	Description
1	GND	Ground
2	CAM_D0_N	MIPI Data Lane 0 Negative
3	CAM_D0_P	MIPI Data Lane 0 Positive
4	GND	Ground
5	CAM_D1_N	MIPI Data Lane 1 Negative
6	CAM_D1_P	MIPI Data Lane 1 Positive
7	GND	Ground
8	CAM_CK_N	MIPI Clock Lane Negative
9	CAM_CK_P	MIPI Clock Lane Positive
10	GND	Ground
11	CAM_D2_N	MIPI Data Lane 2 Negative
12	CAM_D2_P	MIPI Data Lane 2 Positive
13	GND	Ground
14	CAM_D3_N	MIPI Data Lane 3 Negative
15	CAM_D3_P	MIPI Data Lane 3 Positive
16	GND	Ground
17	CAM_IO0	Power Enable
18	CAM_IO1	LED Indicator
19	GND	Ground
20	SCL	I2C SCL
21	SDA	SCCB serial Interface data IO
22	VCC	3.3V Power Supply

Quick Start Guide

NOTE

The latest Raspberry Pi Image System is recommended.

pi image system 2020 08 20 — We tested on this image system.

Hardware Setup

First Use

1.Clone the file

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

2.Install Python Dependency libraries

sudo apt-get install python-opencv

install Python Dependency libraries imx477 b0272

3.Enable the I2C0 adapter

cd RaspberryPi/Motorized_Focus_Camera
chmod +x enable_i2c_vc.sh
./enable_i2c_vc.sh

Then press ‘y’ to reboot.

4.Demo code

4.1 Motorized_Focus_Camera_Preview.py

This demo supports focusing in preview mode. Single focus by keyboard up and down arrow.

cd RaspberryPi/Motorized_Focus_Camera
sudo python Motorized_Focus_Camera_Preview.py

Motorized Focus Camera Preview.py imx477 b0272

4.2 Motorized_Focus_Camera_Snapshot.py

This demo supports focusing and save the image to the local filesystem. You can save the image after each focus. Single focus by keyboard up and down arrow.

cd RaspberryPi/Motorized_Focus_Camera
sudo python Motorized_Focus_Camera_Snapshot.py

4.3 Autofocus.py

This demo supports auto focusing in preview mode.

cd RaspberryPi/Motorized_Focus_Camera
sudo python Autofocus.py

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

Cameras for Raspberry Pi