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How to Use Pi Camera v3 w/ NoIR: Examples, Pinouts, and Specs

Image of Pi Camera v3 w/ NoIR
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Introduction

The Pi Camera v3 w/ NoIR is a high-quality camera module designed specifically for Raspberry Pi boards. It features a 12.3 MP Sony IMX708 sensor, capable of capturing high-resolution images and video. The "NoIR" variant lacks an infrared filter, making it ideal for low-light and infrared photography, such as night vision applications or scientific imaging. This module is compact, lightweight, and integrates seamlessly with Raspberry Pi systems, making it a versatile choice for hobbyists, educators, and professionals.

Explore Projects Built with Pi Camera v3 w/ NoIR

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
ESP32 CAM PIR Sensor Security Camera with Battery Management
Image of intruder alert system: A project utilizing Pi Camera v3 w/ NoIR in a practical application
This is a motion-activated camera system powered by a 7.4V battery with a charging module. It uses a PIR sensor to detect motion and an ESP32 CAM microcontroller to process the signal and activate a yellow LED through an NPN transistor. A voltage booster and capacitor are included for power management, and a momentary switch allows for manual power control.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino Uno R3 Controlled Pan-Tilt Security Camera with Night Vision
Image of MOTION CAMERA: A project utilizing Pi Camera v3 w/ NoIR in a practical application
This circuit features an Arduino Uno R3 microcontroller connected to a Huskylens (an AI camera module), an IR LED Night Vision Ring, and a Tilt Pan module. The Huskylens is interfaced with the Arduino via I2C communication using the SDA and SCL lines, while the Tilt Pan module is controlled by the Arduino through digital pins 10 and 11 for signal and output control. The IR LED ring and Tilt Pan are powered directly from the Arduino's 5V output, and all components share a common ground.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP32-CAM Smart Security System with PIR Sensor and BMP280, Battery-Powered and Wi-Fi Controlled
Image of ESP 32: A project utilizing Pi Camera v3 w/ NoIR in a practical application
This circuit is a wireless surveillance system using an ESP32-CAM module, a PIR motion sensor, and a BMP280 sensor. The ESP32-CAM captures images and sends them via Telegram when motion is detected by the PIR sensor, while the BMP280 provides environmental data. The system is powered by a 3.7V battery, regulated to 5V using an LM340T5 7805 voltage regulator, and includes a TP4056 for battery charging.
Cirkit Designer LogoOpen Project in Cirkit Designer
Raspberry Pi Pico W Controlled Multi-IR Sensor Array with RGB LED Feedback and Motor Driver
Image of postxlr8: A project utilizing Pi Camera v3 w/ NoIR in a practical application
This circuit uses a Raspberry Pi Pico W to process signals from multiple IR sensors and control RGB LEDs and DC motors. The IR sensors detect objects or motion, the RGB LEDs serve as indicators, and the L298N motor driver manages the operation of the motors, all powered by a 12V battery.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with Pi Camera v3 w/ NoIR

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 intruder alert system: A project utilizing Pi Camera v3 w/ NoIR in a practical application
ESP32 CAM PIR Sensor Security Camera with Battery Management
This is a motion-activated camera system powered by a 7.4V battery with a charging module. It uses a PIR sensor to detect motion and an ESP32 CAM microcontroller to process the signal and activate a yellow LED through an NPN transistor. A voltage booster and capacitor are included for power management, and a momentary switch allows for manual power control.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of MOTION CAMERA: A project utilizing Pi Camera v3 w/ NoIR in a practical application
Arduino Uno R3 Controlled Pan-Tilt Security Camera with Night Vision
This circuit features an Arduino Uno R3 microcontroller connected to a Huskylens (an AI camera module), an IR LED Night Vision Ring, and a Tilt Pan module. The Huskylens is interfaced with the Arduino via I2C communication using the SDA and SCL lines, while the Tilt Pan module is controlled by the Arduino through digital pins 10 and 11 for signal and output control. The IR LED ring and Tilt Pan are powered directly from the Arduino's 5V output, and all components share a common ground.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of ESP 32: A project utilizing Pi Camera v3 w/ NoIR in a practical application
ESP32-CAM Smart Security System with PIR Sensor and BMP280, Battery-Powered and Wi-Fi Controlled
This circuit is a wireless surveillance system using an ESP32-CAM module, a PIR motion sensor, and a BMP280 sensor. The ESP32-CAM captures images and sends them via Telegram when motion is detected by the PIR sensor, while the BMP280 provides environmental data. The system is powered by a 3.7V battery, regulated to 5V using an LM340T5 7805 voltage regulator, and includes a TP4056 for battery charging.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of postxlr8: A project utilizing Pi Camera v3 w/ NoIR in a practical application
Raspberry Pi Pico W Controlled Multi-IR Sensor Array with RGB LED Feedback and Motor Driver
This circuit uses a Raspberry Pi Pico W to process signals from multiple IR sensors and control RGB LEDs and DC motors. The IR sensors detect objects or motion, the RGB LEDs serve as indicators, and the L298N motor driver manages the operation of the motors, all powered by a 12V battery.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications and Use Cases

  • Night vision photography and videography
  • Wildlife monitoring and surveillance
  • Scientific imaging and research
  • Home automation and security systems
  • Time-lapse photography
  • Machine vision and AI-based image processing

Technical Specifications

Below are the key technical details of the Pi Camera v3 w/ NoIR:

Specification Details
Sensor Sony IMX708
Resolution 12.3 Megapixels
Maximum Image Size 4608 x 2592
Video Modes 1080p at 30/60 fps, 720p at 120 fps, etc.
Lens Type Fixed focus
Field of View (FoV) 75° (horizontal)
Infrared Filter None (NoIR variant)
Interface CSI-2 (Camera Serial Interface)
Power Supply Voltage 3.3V (via Raspberry Pi)
Dimensions 25mm x 24mm x 9mm
Weight ~3 grams

Pin Configuration and Descriptions

The Pi Camera v3 w/ NoIR connects to the Raspberry Pi via the CSI (Camera Serial Interface) port. Below is the pin configuration for the CSI ribbon cable:

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

Usage Instructions

Connecting the Pi Camera v3 w/ NoIR to a Raspberry Pi

  1. Power off the Raspberry Pi: Ensure the Raspberry Pi is powered off before connecting the camera module.
  2. Locate the CSI port: The CSI port is typically located near the GPIO pins on the Raspberry Pi board.
  3. Insert the ribbon cable:
    • Open the CSI port connector by gently lifting the plastic latch.
    • Insert the ribbon cable with the metal contacts facing the Raspberry Pi's PCB.
    • Close the latch to secure the cable.
  4. Power on the Raspberry Pi: Once the camera is 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 interface.
  4. Reboot the Raspberry Pi to apply the changes:
    sudo reboot
    

Capturing Images and Videos

The libcamera library is used to interact with the Pi Camera v3. 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 Pi Camera v3 can also be controlled using Python. Below is an example script:

from picamera2 import Picamera2
import time

Initialize the camera

picam2 = Picamera2()

Configure the camera for preview

picam2.start_preview()

Start the camera

picam2.start() print("Camera started. Capturing an image in 5 seconds...")

Wait for 5 seconds

time.sleep(5)

Capture an image

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

Stop the camera

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


Important Considerations and Best Practices

  • Ensure the ribbon cable is securely connected to avoid communication issues.
  • Avoid touching the camera lens to prevent smudges or scratches.
  • Use appropriate lighting or infrared illumination for low-light or night vision applications.
  • When using the camera for extended periods, ensure proper ventilation to prevent overheating.

Troubleshooting and FAQs

Common Issues and Solutions

  1. Camera not detected:

    • Ensure the ribbon cable is properly connected to the CSI port.
    • Verify that the camera interface is enabled in the Raspberry Pi configuration tool.
    • Check for software updates using:
      sudo apt update && sudo apt upgrade
      
  2. Poor image quality:

    • Clean the camera lens with a microfiber cloth.
    • Ensure adequate lighting or use an infrared light source for NoIR applications.
  3. Error: "No data received from sensor":

    • Double-check the ribbon cable connection.
    • Ensure the camera module is compatible with your Raspberry Pi model.
  4. Python script not working:

    • Ensure the picamera2 library is installed:
      pip install picamera2
      
    • Verify that the camera is not being used by another process.

FAQs

Q: Can the Pi Camera v3 w/ NoIR be used for daylight photography?
A: Yes, but the lack of an infrared filter may result in color distortion under normal lighting conditions.

Q: Is the Pi Camera v3 w/ NoIR compatible with all Raspberry Pi models?
A: It is compatible with most Raspberry Pi models that have a CSI port. However, always check the official documentation for compatibility.

Q: Can I use the Pi Camera v3 w/ NoIR for time-lapse photography?
A: Yes, the camera supports time-lapse photography. You can use tools like libcamera or Python scripts to automate the process.

Q: Does the NoIR variant work in complete darkness?
A: The NoIR variant requires an external infrared light source to capture images in complete darkness.