Sony IMX219
Sony IMX219
Up to 8 megapixels (3280 x 2464)
Up to 1080p at 30fps
110 horizontal
3.04mm
f/2.0
10cm to infinity
GPIO
250mA
0C to 50C
25mm x 23mm x 9mm
Applications
| The Raspberry Pi High Quality Camera with Interchangeable Lens Base is suitable for a wide range of IoT applications, including |
Computer vision projects
Robotics and machine learning
Surveillance and security systems
Object detection and tracking
Image and video processing
Embedded systems and robotics
Software and Resources
| The Raspberry Pi High Quality Camera with Interchangeable Lens Base is supported by a range of software libraries and resources, including |
Raspberry Pi OS
OpenCV
Python programming language
Raspbian operating system
Pi camera software library
Conclusion
The Raspberry Pi High Quality Camera with Interchangeable Lens Base is a powerful and versatile camera module that provides high-quality imaging capabilities for Raspberry Pi projects. Its interchangeable lens base, high-resolution capture, and manual focus and zoom controls make it an ideal choice for a wide range of IoT applications.
Raspberry Pi High Quality Camera with Interchangeable Lens Base DocumentationOverviewThe Raspberry Pi High Quality Camera with Interchangeable Lens Base is a versatile camera module designed for the Raspberry Pi series of single-board computers. It features a 12.3 megapixel Sony IMX477 sensor, support for interchangeable lenses, and a range of mounting options. This component is ideal for various IoT applications, including computer vision, robotics, and surveillance systems.Hardware Specifications12.3 megapixel Sony IMX477 sensor
Interchangeable lens base (C-mount or CS-mount)
Supports resolutions up to 4056 x 3040 pixels
Maximum frame rate: 30 fps at 1080p, 15 fps at 4K
Interface: CSI-2 (Camera Serial Interface)
Power supply: 3.3V, 5V, or 6V (depending on the lens used)Software SupportThe Raspberry Pi High Quality Camera with Interchangeable Lens Base is compatible with the Raspberry Pi OS and various programming languages, including Python, Java, and C++. This documentation will focus on Python examples using the Raspberry Pi OS.Example 1: Basic Camera CaptureThis example demonstrates how to capture a still image using the camera module.Code
```python
import picamera# Create a camera object
camera = picamera.Camera()# Set the camera resolution and format
camera.resolution = (4056, 3040)
camera.format = 'jpg'# Capture an image and save it to a file
camera.capture('image.jpg')# Close the camera object
camera.close()
```
Example 2: Real-time Video StreamingThis example shows how to stream video from the camera module to a web interface using Flask.Code
```python
import picamera
from flask import Flask, Responseapp = Flask(__name__)# Create a camera object
camera = picamera.Camera()# Set the camera resolution and format
camera.resolution = (640, 480)
camera.format = 'h264'@app.route('/')
def index():
return '''
<html>
<head>
<title>Raspberry Pi Camera Stream</title>
</head>
<body>
<h1>Raspberry Pi Camera Stream</h1>
<img src="/stream" width="640" height="480">
</body>
</html>
'''@app.route('/stream')
def stream():
return Response(gen(camera), mimetype='multipart/x-mixed-replace; boundary=frame')def gen(camera):
while True:
frame = camera.capture(format='bgr')
yield b'--frame
Content-Type: image/jpeg
' + frame.tobytes() + b'
'if __name__ == '__main__':
app.run(host='0.0.0.0', port=8000)
```
Example 3: Object Detection using OpenCVThis example demonstrates how to use the camera module in conjunction with OpenCV to detect objects in real-time.Code
```python
import cv2
import picamera# Create a camera object
camera = picamera.Camera()# Create an OpenCV window
cv2.namedWindow('Object Detection', cv2.WINDOW_NORMAL)while True:
# Capture an image from the camera
image = camera.capture(format='bgr')# Convert the image to grayscale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)# Apply object detection using OpenCV
CascadeClassifier = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
faces = CascadeClassifier.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)# Draw rectangles around detected objects
for (x, y, w, h) in faces:
cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)# Display the output
cv2.imshow('Object Detection', image)# Exit on key press
if cv2.waitKey(1) & 0xFF == ord('q'):
break# Close the OpenCV window and camera object
cv2.destroyAllWindows()
camera.close()
```
Notes and VariationsThe code examples above assume that the camera module is properly connected to the Raspberry Pi and that the necessary dependencies are installed.
The interchangeable lens base allows for a wide range of lenses to be used, each with its own characteristics and applications. Consult the lens documentation for specific usage guidelines.
The Raspberry Pi High Quality Camera with Interchangeable Lens Base is also compatible with other programming languages and frameworks, such as Java and C++. Consult the relevant documentation for examples and guidelines.I hope this documentation helps you get started with the Raspberry Pi High Quality Camera with Interchangeable Lens Base. Happy coding!