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Official Raspberry Pi Camera Module V2 - 8 Megapixel,1080p

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Component Name

Official Raspberry Pi Camera Module V2 - 8 Megapixel, 1080p

Overview

================

The Official Raspberry Pi Camera Module V2 is a high-quality camera module designed specifically for the Raspberry Pi single-board computers. This camera module captures stunning images and videos with its 8-megapixel sensor and 1080p resolution capabilities. The V2 module is an upgrade to the originalCamera Module, offering improved performance, features, and compatibility.

Functionality

================

The Raspberry Pi Camera Module V2 is a peripheral component that enables the Raspberry Pi to capture still images and record videos. The camera module connects to the Raspberry Pi's Camera Serial Interface (CSI) port, allowing it to interface with the board's GPU and CPU. The camera's primary functions include

Capturing high-quality still images up to 8 megapixels (3280 x 2464)

Recording 1080p video at 30 frames per second

Supporting various camera modes, such as video, photo, and timelapse

Allowing for manual control of camera settings, such as exposure, white balance, and focus

Key Features

===============

  • High-Quality Sensor: The camera module features an 8-megapixel Sony IMX219 sensor, which provides exceptional image quality and low-light performance.
  • 1080p Video Recording: The camera module can record 1080p video at 30 frames per second, making it suitable for various applications, including video conferencing, surveillance, and robotics.
  • Flexible Lens: The camera module's lens is adjustable, allowing for focus adjustments and enabling the camera to capture objects at varying distances.
  • Wide Angle Lens: The camera module's lens has a wide angle of view, making it suitable for capturing large scenes or objects.
  • Low-Light Performance: The camera module's sensor and lens design enable it to perform well in low-light conditions, making it suitable for a variety of indoor and outdoor applications.
  • Robust Construction: The camera module is built with a robust plastic casing and features a sturdy PCB design, ensuring durability and reliability in various environments.
  • Easy Installation: The camera module connects to the Raspberry Pi's CSI port, making it easy to install and integrate into projects.
  • Open-Source Software: The camera module is supported by open-source software, allowing developers to customize and optimize its performance for their specific applications.
  • Compatibility: The camera module is compatible with all Raspberry Pi models, including the Raspberry Pi 4, Raspberry Pi 3, and Raspberry Pi 2.

Technical Specifications

=============================

Sensor

Sony IMX219 8-megapixel CMOS

Resolution

3280 x 2464 (still images), 1920 x 1080 (video)

Frames Per Second (FPS)30 FPS (video), 15 FPS (still images)

Lens

Adjustable lens with a wide angle of view

Focus

Manual focus adjustment

Exposure

Auto and manual exposure control

White Balance

Auto and manual white balance control

Interface

Camera Serial Interface (CSI)

Power

3.3V DC

Current

250 mA (typical)

Conclusion

=============

The Official Raspberry Pi Camera Module V2 is a high-performance camera module designed for the Raspberry Pi. Its 8-megapixel sensor, 1080p video recording capabilities, and adjustable lens make it an ideal choice for a wide range of applications, from robotics and automation to surveillance and multimedia projects.

Pin Configuration

  • Official Raspberry Pi Camera Module V2 - 8 Megapixel, 1080p
  • Pinout Description
  • The Raspberry Pi Camera Module V2 has a 15-pin interface, which connects to the Raspberry Pi's Camera Serial Interface (CSI) connector. Here's a detailed description of each pin:
  • Pin 1: VCC (Power Supply)
  • Function: Power supply pin, provides 3.3V power to the camera module.
  • Description: Connect to the 3.3V power rail on the Raspberry Pi.
  • Pin 2: GND (Ground)
  • Function: Ground pin, provides a common ground reference for the camera module.
  • Description: Connect to the GND pin on the Raspberry Pi.
  • Pin 3: XCLK (External Clock)
  • Function: Provides an external clock signal to the camera module.
  • Description: Connect to the XCLK pin on the Raspberry Pi (Clock signal).
  • Pin 4: PWDN (Power Down)
  • Function: Power-down signal, used to turn the camera module on or off.
  • Description: Connect to the PWDN pin on the Raspberry Pi (optional, can be tied to GND if not used).
  • Pin 5: CLK (Clock Lane 0)
  • Function: One of the four clock lanes used for MIPI CSI-2 data transmission.
  • Description: Connect to the CLK pin on the Raspberry Pi (Clock Lane 0).
  • Pin 6: D0 (Data Lane 0)
  • Function: One of the four data lanes used for MIPI CSI-2 data transmission.
  • Description: Connect to the D0 pin on the Raspberry Pi (Data Lane 0).
  • Pin 7: D1 (Data Lane 1)
  • Function: One of the four data lanes used for MIPI CSI-2 data transmission.
  • Description: Connect to the D1 pin on the Raspberry Pi (Data Lane 1).
  • Pin 8: D2 (Data Lane 2)
  • Function: One of the four data lanes used for MIPI CSI-2 data transmission.
  • Description: Connect to the D2 pin on the Raspberry Pi (Data Lane 2).
  • Pin 9: D3 (Data Lane 3)
  • Function: One of the four data lanes used for MIPI CSI-2 data transmission.
  • Description: Connect to the D3 pin on the Raspberry Pi (Data Lane 3).
  • Pin 10: SCLK (Serial Clock)
  • Function: Serial clock signal used for I2C communication.
  • Description: Connect to the SCLK pin on the Raspberry Pi (Serial Clock).
  • Pin 11: SDA (Serial Data)
  • Function: Serial data signal used for I2C communication.
  • Description: Connect to the SDA pin on the Raspberry Pi (Serial Data).
  • Pin 12: PP (Power Presence)
  • Function: Power presence signal, indicates the presence of power on the camera module.
  • Description: Not typically used, can be left unconnected.
  • Pin 13: LED (Indicator LED)
  • Function: Indicator LED, can be used to indicate camera activity.
  • Description: Not typically used, can be left unconnected.
  • Pin 14: I2C_SDA (I2C Serial Data)
  • Function: Alternate I2C serial data signal used for I2C communication.
  • Description: Not typically used, can be left unconnected.
  • Pin 15: I2C_SCL (I2C Serial Clock)
  • Function: Alternate I2C serial clock signal used for I2C communication.
  • Description: Not typically used, can be left unconnected.
  • Connection Structure
  • To connect the Raspberry Pi Camera Module V2 to the Raspberry Pi:
  • 1. Align the camera module with the CSI connector on the Raspberry Pi.
  • 2. Gently push the camera module into the CSI connector, making sure all pins are seated properly.
  • 3. Secure the camera module to the Raspberry Pi using the provided screw or adhesive tape.
  • Important Notes
  • Ensure the camera module is properly connected to the CSI connector to avoid damage to the camera or Raspberry Pi.
  • Use a compatible cable or adapter if the camera module is not connected directly to the Raspberry Pi.
  • Consult the Raspberry Pi documentation for specific instructions on enabling and configuring the camera module.

Code Examples

Official Raspberry Pi Camera Module V2 - 8 Megapixel, 1080p
Overview
The Official Raspberry Pi Camera Module V2 is a high-quality camera module designed specifically for the Raspberry Pi single-board computer. It features an 8-megapixel sensor, capable of capturing still images and video at 1080p resolution. This module is ideal for various applications, including computer vision, robotics, home automation, and surveillance.
Technical Specifications
Sensor: Sony IMX219 8-megapixel sensor
 Resolution: 3280 x 2464 pixels (still images), 1920 x 1080 pixels (video)
 Field of View: 62.2 x 48.4 degrees
 Focal Length: 3.04 mm
 Aperture: f/2.0
 Interface: 15-pin MIPI CSI-2
Setting Up the Camera Module
Before using the camera module, ensure that it is properly connected to the Raspberry Pi's camera interface (CSI) and that the Raspbian operating system is installed on the Raspberry Pi.
Code Examples
### Example 1: Capturing a Still Image
This example demonstrates how to capture a still image using the camera module in Python:
```python
import picamera
# Create a camera object
camera = picamera.PiCamera()
# Set the camera resolution
camera.resolution = (3280, 2464)
# Capture a still image
camera.capture('image.jpg')
# Close the camera
camera.close()
```
This code creates a `PiCamera` object, sets the camera resolution to the maximum available (3280 x 2464), captures a still image, and saves it as `image.jpg`.
### Example 2: Streaming Video
This example demonstrates how to stream video from the camera module using the `picamera` library and the `motion` package:
```python
import picamera
import motion
# Create a camera object
camera = picamera.PiCamera()
# Set the camera resolution and framerate
camera.resolution = (640, 480)
camera.framerate = 30
# Start the motion detection service
motion.start()
# Stream video
while True:
    camera.wait_recording(1)
    buffer = camera.capture(video, format='h264')
    motion.analyze(buffer)
# Close the camera
camera.close()
```
This code creates a `PiCamera` object, sets the camera resolution and framerate, starts the motion detection service, and streams video from the camera module. The video is analyzed for motion using the `motion` package.
### Example 3: Object Detection using OpenCV
This example demonstrates how to use the camera module with OpenCV to detect objects in real-time:
```python
import cv2
# Create a camera object
camera = cv2.VideoCapture(0)
while True:
    ret, frame = camera.read()
    if not ret:
        break
# Convert the frame to grayscale
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Detect objects using a Haar cascade classifier
    face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)
# Draw rectangles around the detected objects
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
# Display the output
    cv2.imshow('Object Detection', frame)
# Exit on key press
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
# Release the camera
camera.release()
cv2.destroyAllWindows()
```
This code creates a `VideoCapture` object, captures video from the camera module, and detects objects in real-time using a Haar cascade classifier. The detected objects are highlighted with rectangles on the output video stream.

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