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Raspberry Pi 6mm High Quality Camera Wide Angle Lens

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Sensor

Sony IMX219

Resolution

Up to 3280 x 2464 pixels

Lens

6mm focal length, wide-angle lens

Field of View

160

Video Resolution

Up to 1080p at 30fps

Auto Focus

Yes

Aperture

Fixed

Power Consumption

Powered directly from Raspberry Pi board

Operating Temperature

0C to 50C

Dimensions

25mm x 25mm x 12mm

Applications

The Raspberry Pi 6mm High Quality Camera Wide Angle Lens is ideal for a wide range of applications, including

Computer vision and machine learning projects

Robotics and autonomous systems

Surveillance and security systems

Multimedia and video streaming projects

IoT and smart home devices

Conclusion

The Raspberry Pi 6mm High Quality Camera Wide Angle Lens is a high-performance camera module that offers exceptional image quality, wide-angle vision, and ease of use. Its compact design, auto focus functionality, and power management features make it an ideal choice for a wide range of projects and applications.

Pin Configuration

  • Raspberry Pi 6mm High Quality Camera Wide Angle Lens Pinout Documentation
  • The Raspberry Pi 6mm High Quality Camera Wide Angle Lens is a high-resolution camera module designed specifically for Raspberry Pi single-board computers. This camera module features a 6mm lens with a wide-angle view, making it ideal for various IoT projects, robotics, and computer vision applications.
  • Camera Module Pinout:
  • The camera module has a 15-pin CSI-2 (Camera Serial Interface) connector, which connects to the Raspberry Pi's CSI-2 camera interface. Here's a breakdown of each pin:
  • 1. CSI2 CLK (Clock)
  • Pin 1: CSI2 clock signal (input)
  • Function: Provides the clock signal for the camera module
  • 2. D0 (Data 0)
  • Pin 2: Data bit 0 (input/output)
  • Function: Carries data between the camera module and Raspberry Pi
  • 3. D1 (Data 1)
  • Pin 3: Data bit 1 (input/output)
  • Function: Carries data between the camera module and Raspberry Pi
  • 4. D2 (Data 2)
  • Pin 4: Data bit 2 (input/output)
  • Function: Carries data between the camera module and Raspberry Pi
  • 5. D3 (Data 3)
  • Pin 5: Data bit 3 (input/output)
  • Function: Carries data between the camera module and Raspberry Pi
  • 6. PCLK (Pixel Clock)
  • Pin 6: Pixel clock signal (input)
  • Function: Provides the pixel clock signal for the camera module
  • 7. VSYNC (Vertical Sync)
  • Pin 7: Vertical sync signal (input)
  • Function: Indicates the start of a new frame in the video stream
  • 8. HSYNC (Horizontal Sync)
  • Pin 8: Horizontal sync signal (input)
  • Function: Indicates the start of a new line in the video stream
  • 9. XCLK (X Clock)
  • Pin 9: X clock signal (input)
  • Function: Provides the X clock signal for the camera module
  • 10. XCLKA (X Clock Alternate)
  • Pin 10: X clock alternate signal (input)
  • Function: Provides an alternate X clock signal for the camera module
  • 11. PWDN (Power Down)
  • Pin 11: Power down signal (input)
  • Function: Controls the power state of the camera module (active low)
  • 12. RESET (Reset)
  • Pin 12: Reset signal (input)
  • Function: Resets the camera module
  • 13. GND (Ground)
  • Pin 13: Ground (GND)
  • Function: Provides a common ground connection for the camera module
  • 14. 3V3 (Power)
  • Pin 14: 3.3V power supply (input)
  • Function: Provides power to the camera module
  • 15. SD ( Shield)
  • Pin 15: Shield (GND)
  • Function: Provides an additional ground connection for the camera module
  • Connecting the Pins:
  • To connect the camera module to a Raspberry Pi, follow these steps:
  • 1. Align the camera module's CSI-2 connector with the Raspberry Pi's CSI-2 camera interface.
  • 2. Gently push the camera module onto the Raspberry Pi's CSI-2 interface until it clicks into place.
  • 3. Ensure the camera module is securely connected and the pins are properly aligned.
  • Important Notes:
  • Make sure to handle the camera module with care to avoid damaging the pins or the Raspberry Pi's CSI-2 interface.
  • Always follow proper electrostatic discharge (ESD) precautions when handling the camera module and Raspberry Pi.
  • Refer to the Raspberry Pi's documentation and the camera module's datasheet for specific connection diagrams and configuration settings.
  • By properly connecting the camera module's pins to the Raspberry Pi, you can unlock a wide range of IoT and computer vision applications.

Code Examples

Raspberry Pi 6mm High Quality Camera Wide Angle Lens Documentation
Overview
The Raspberry Pi 6mm High Quality Camera Wide Angle Lens is a high-quality camera module designed for the Raspberry Pi single-board computer. It features a 6mm wide-angle lens, allowing for a wider field of view and increased image quality. This camera module is ideal for various IoT applications, such as computer vision, robotics, and surveillance.
Technical Specifications
Sensor: Sony IMX219
 Resolution: 8 megapixels
 Lens: 6mm wide-angle lens
 Field of view: 72 degrees
 Interface: CSI-2 (Camera Serial Interface)
 Compatibility: Raspberry Pi 3, 3+, 4, and Zero series
Code Examples
### Example 1: Capturing an Image using Python
This example demonstrates how to use the Raspberry Pi 6mm High Quality Camera Wide Angle Lens to capture an image using Python.
Code:
```python
import picamera
# Create a camera object
camera = picamera.PiCamera()
# Set the camera resolution to 640x480
camera.resolution = (640, 480)
# Capture an image and save it to a file
camera.capture('image.jpg')
# Release the camera resources
camera.close()
```
Note: Make sure to install the `picamera` library by running `sudo apt-get install python-picamera` on your Raspberry Pi.
### Example 2: Streaming Video using OpenCV and Python
This example demonstrates how to use the Raspberry Pi 6mm High Quality Camera Wide Angle Lens to stream video using OpenCV and Python.
Code:
```python
import cv2
# Create a video capture object
cap = cv2.VideoCapture(0)
while True:
    # Read a frame from the camera
    ret, frame = cap.read()
    
    # Display the frame
    cv2.imshow('Frame', frame)
    
    # Exit on key press
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
# Release the video capture resources
cap.release()
cv2.destroyAllWindows()
```
Note: Make sure to install the `opencv-python` library by running `sudo apt-get install python-opencv` on your Raspberry Pi.
### Example 3: Motion Detection using Python and OpenCV
This example demonstrates how to use the Raspberry Pi 6mm High Quality Camera Wide Angle Lens to detect motion using Python and OpenCV.
Code:
```python
import cv2
# Create a video capture object
cap = cv2.VideoCapture(0)
while True:
    # Read a frame from the camera
    ret, frame = cap.read()
    
    # Convert the frame to grayscale
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    
    # Apply Gaussian blur to reduce noise
    blurred = cv2.GaussianBlur(gray, (21, 21), 0)
    
    # Calculate the absolute difference between the current frame and the previous frame
    frame_delta = cv2.absdiff(blurred, cv2.imread('previous_frame.jpg'))
    
    # Threshold the difference image to detect motion
    thresh = cv2.threshold(frame_delta, 25, 255, cv2.THRESH_BINARY)[1]
    
    # Find contours in the thresholded image
    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    
    # Iterate through the contours and draw a rectangle around the motion area
    for contour in contours:
        if cv2.contourArea(contour) > 1000:
            x, y, w, h = cv2.boundingRect(contour)
            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
    
    # Display the output
    cv2.imshow('Motion Detection', frame)
    
    # Save the current frame as the previous frame
    cv2.imwrite('previous_frame.jpg', blurred)
    
    # Exit on key press
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
# Release the video capture resources
cap.release()
cv2.destroyAllWindows()
```
Note: This example saves the previous frame to a file and compares it with the current frame to detect motion. You may need to adjust the threshold value and contour area threshold to suit your specific use case.