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How to Use Raspberry Pi Camera Module 3: Examples, Pinouts, and Specs

Image of Raspberry Pi Camera Module 3
Cirkit Designer LogoDesign with Raspberry Pi Camera Module 3 in Cirkit Designer

Introduction

The Raspberry Pi Camera Module 3 is a high-quality camera module designed for seamless integration with Raspberry Pi boards. It features improved image quality, autofocus functionality, and support for various resolutions and frame rates. This makes it an excellent choice for projects involving photography, video recording, and computer vision applications. Its compact size and versatility allow it to be used in a wide range of projects, from home security systems to AI-powered image recognition.

Explore Projects Built with Raspberry Pi Camera Module 3

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Raspberry Pi 5 Controlled Surveillance System with Dual Wide-Angle Cameras and Motorized Movement
Image of Armorwalker Circuit: A project utilizing Raspberry Pi Camera Module 3 in a practical application
This circuit features a Raspberry Pi 5 as the central controller, interfaced with two wide-angle camera modules for image capture, and a 7-inch display for visual output via HDMI and USB connections. The Raspberry Pi also controls a L298N DC motor driver to operate four 12V geared motors, with direction and speed control facilitated through GPIO pins. Power management is handled by a rocker switch connected to a lithium-ion battery, and solid-state relays are included for additional external device control.
Cirkit Designer LogoOpen Project in Cirkit Designer
Battery-Powered Raspberry Pi Robotic Arm with Camera
Image of 396: A project utilizing Raspberry Pi Camera Module 3 in a practical application
This circuit integrates a Raspberry Pi 5 with a camera module, a robot arm, and a power management system. The Raspberry Pi is powered by a Type-C Power Bank Module and controls the robot arm via a ROBOTIS U2D2 interface, while also providing connectivity for USB and Ethernet through a plate. The camera module is connected to the Raspberry Pi for image capture.
Cirkit Designer LogoOpen Project in Cirkit Designer
Raspberry Pi 5 Controlled Robotic Vehicle with LIDAR and Camera Module
Image of Autonomous Car: A project utilizing Raspberry Pi Camera Module 3 in a practical application
This circuit features a Raspberry Pi 5 connected to a camera module and a TF LUNA LIDAR sensor for visual and distance sensing capabilities. A Mini 360 Buck Converter is used to regulate power from a Li-ion battery to the Raspberry Pi and an Adafruit Motor Shield, which controls four DC motors. The Arduino UNO microcontroller appears to be unused in the current configuration.
Cirkit Designer LogoOpen Project in Cirkit Designer
Raspberry Pi 5 Smart Weather Station with GPS and AI Integration
Image of Senior Design: A project utilizing Raspberry Pi Camera Module 3 in a practical application
This circuit integrates a Raspberry Pi 5 with various peripherals including an 8MP 3D stereo camera, an AI Hat, a BMP388 sensor, a 16x2 I2C LCD, and an Adafruit Ultimate GPS module. The Raspberry Pi serves as the central processing unit, interfacing with the camera for image capture, the AI Hat for AI processing, the BMP388 for environmental sensing, the LCD for display, and the GPS module for location tracking, with a USB Serial TTL for serial communication.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with Raspberry Pi Camera Module 3

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of Armorwalker Circuit: A project utilizing Raspberry Pi Camera Module 3 in a practical application
Raspberry Pi 5 Controlled Surveillance System with Dual Wide-Angle Cameras and Motorized Movement
This circuit features a Raspberry Pi 5 as the central controller, interfaced with two wide-angle camera modules for image capture, and a 7-inch display for visual output via HDMI and USB connections. The Raspberry Pi also controls a L298N DC motor driver to operate four 12V geared motors, with direction and speed control facilitated through GPIO pins. Power management is handled by a rocker switch connected to a lithium-ion battery, and solid-state relays are included for additional external device control.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of 396: A project utilizing Raspberry Pi Camera Module 3 in a practical application
Battery-Powered Raspberry Pi Robotic Arm with Camera
This circuit integrates a Raspberry Pi 5 with a camera module, a robot arm, and a power management system. The Raspberry Pi is powered by a Type-C Power Bank Module and controls the robot arm via a ROBOTIS U2D2 interface, while also providing connectivity for USB and Ethernet through a plate. The camera module is connected to the Raspberry Pi for image capture.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Autonomous Car: A project utilizing Raspberry Pi Camera Module 3 in a practical application
Raspberry Pi 5 Controlled Robotic Vehicle with LIDAR and Camera Module
This circuit features a Raspberry Pi 5 connected to a camera module and a TF LUNA LIDAR sensor for visual and distance sensing capabilities. A Mini 360 Buck Converter is used to regulate power from a Li-ion battery to the Raspberry Pi and an Adafruit Motor Shield, which controls four DC motors. The Arduino UNO microcontroller appears to be unused in the current configuration.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Senior Design: A project utilizing Raspberry Pi Camera Module 3 in a practical application
Raspberry Pi 5 Smart Weather Station with GPS and AI Integration
This circuit integrates a Raspberry Pi 5 with various peripherals including an 8MP 3D stereo camera, an AI Hat, a BMP388 sensor, a 16x2 I2C LCD, and an Adafruit Ultimate GPS module. The Raspberry Pi serves as the central processing unit, interfacing with the camera for image capture, the AI Hat for AI processing, the BMP388 for environmental sensing, the LCD for display, and the GPS module for location tracking, with a USB Serial TTL for serial communication.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications

  • Photography and video recording
  • Computer vision and machine learning projects
  • Home automation and security systems
  • Time-lapse photography
  • Robotics and object tracking

Technical Specifications

The Raspberry Pi Camera Module 3 is available in multiple variants, including standard and wide-angle lenses, as well as visible light and infrared (NoIR) versions. Below are the key technical details:

Key Specifications

  • Sensor: Sony IMX708
  • Resolution: 12 megapixels
  • Autofocus: Yes
  • Field of View (FoV):
    • Standard: 66° horizontal
    • Wide-angle: 102° horizontal
  • Video Modes:
    • 1080p at 50 fps
    • 720p at 100 fps
    • 640 × 480 (VGA) at 120 fps
  • Interface: MIPI CSI-2
  • Power Supply: 3.3V (via Raspberry Pi)
  • Dimensions: 25 × 24 × 11.5 mm (excluding cable)
  • Weight: 3g (approx.)

Pin Configuration

The Raspberry Pi Camera Module 3 connects to the Raspberry Pi board via the CSI (Camera Serial Interface) connector. Below is the pin configuration for the CSI interface:

Pin Number Pin Name Description
1 GND Ground
2 3.3V Power Power supply for the camera module
3 I2C SDA I2C data line for camera communication
4 I2C SCL I2C clock line for camera communication
5 CSI Data Lane 0+ Positive differential data signal
6 CSI Data Lane 0- Negative differential data signal
7 CSI Clock Lane+ Positive differential clock signal
8 CSI Clock Lane- Negative differential clock signal
9 CSI Data Lane 1+ Positive differential data signal
10 CSI Data Lane 1- Negative differential data signal

Usage Instructions

Connecting the Camera Module

  1. Power Off the Raspberry Pi: Always power off the Raspberry Pi before connecting or disconnecting the camera module to avoid damage.
  2. Locate the CSI Port: The CSI port is typically located near the HDMI port on the Raspberry Pi board.
  3. Insert the Ribbon Cable:
    • Open the CSI port's plastic clip by gently pulling it upward.
    • Insert the ribbon cable with the metal contacts facing the HDMI port.
    • Push the plastic clip back down to secure the cable.
  4. Power On the Raspberry Pi: Once the camera is securely connected, power on the Raspberry Pi.

Enabling the Camera

  1. Open a terminal on the Raspberry Pi.
  2. Run the following command to open the Raspberry Pi configuration tool:
    sudo raspi-config
    
  3. Navigate to Interface Options > Camera and enable the camera.
  4. Reboot the Raspberry Pi to apply the changes:
    sudo reboot
    

Capturing Images and Videos

The Raspberry Pi Camera Module 3 can be controlled using the libcamera tools. Below are examples of capturing images and videos:

Capturing an Image

libcamera-still -o image.jpg

Captures an image and saves it as 'image.jpg' in the current directory.


Recording a Video

libcamera-vid -o video.h264 -t 10000

Records a 10-second video and saves it as 'video.h264'.

The '-t' option specifies the duration in milliseconds.


Using the Camera with Python

The picamera2 library allows you to control the camera module in Python. Below is an example:

from picamera2 import Picamera2
import time

Initialize the camera

picam2 = Picamera2()

Configure the camera for preview

picam2.configure(picam2.preview_configuration())

Start the camera

picam2.start() print("Camera is running...")

Capture an image after 5 seconds

time.sleep(5) picam2.capture_file("image.jpg") print("Image captured and saved as 'image.jpg'.")

Stop the camera

picam2.stop() print("Camera stopped.")


Best Practices

  • Ensure the ribbon cable is securely connected to avoid intermittent issues.
  • Use a stable power supply to prevent the camera from malfunctioning.
  • Avoid touching the camera lens to prevent smudges or scratches.
  • Use a compatible Raspberry Pi OS version for optimal performance.

Troubleshooting and FAQs

Common Issues and Solutions

1. Camera Not Detected

  • Cause: The camera module is not enabled in the Raspberry Pi configuration.
  • Solution: Run sudo raspi-config and enable the camera under Interface Options. Reboot the Raspberry Pi.

2. Poor Image Quality

  • Cause: Dirty or scratched lens.
  • Solution: Clean the lens gently with a microfiber cloth. Avoid using abrasive materials.

3. Autofocus Not Working

  • Cause: Insufficient lighting or subject too close.
  • Solution: Ensure adequate lighting and maintain a minimum distance of 10 cm from the subject.

4. "libcamera" Command Not Found

  • Cause: Missing or outdated software.
  • Solution: Update the Raspberry Pi OS and install the required packages:
    sudo apt update
    sudo apt install -y libcamera-apps
    

FAQs

Q: Can I use the Camera Module 3 with older Raspberry Pi models?

A: Yes, the Camera Module 3 is compatible with most Raspberry Pi models that have a CSI port. However, performance may vary depending on the model.

Q: Does the Camera Module 3 support night vision?

A: The NoIR version of the Camera Module 3 is designed for low-light and night vision applications.

Q: Can I use multiple Camera Modules with a single Raspberry Pi?

A: Yes, but you will need a multi-camera adapter board to connect multiple cameras.

Q: What is the maximum resolution supported?

A: The Camera Module 3 supports a maximum resolution of 12 megapixels for still images.

By following this documentation, you can effectively integrate and utilize the Raspberry Pi Camera Module 3 in your projects.