1-) Download Packages on Raspberry Pi

Update Package Lists

sudo apt update

Enable Camera Interface

sudo raspi-config

Install Flask and PiCamera

pip3 install flask picamera

sudo apt install python3-pip

Retrieve Your Raspberry Pi's IP Address

ifconfig

2-) Code Overview

import io
import picamera
from flask import Flask, Response

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app = Flask(__name__)

def generate_frames():
 with picamera.PiCamera() as camera:
 camera.resolution = (640, 480)
 camera.framerate = 24
 stream = io.BytesIO()

 for _ in camera.capture_continuous(stream, 'jpeg', use_video_port=True):
 stream.seek(0)
 yield b'--frame\r\nContent-Type: image/jpeg\r\n\r\n' + stream.read() + b'\r\n'
 stream.seek(0)
 stream.truncate()

@app.route('/video_feed')
def video_feed():
 return Response(generate_frames(), mimetype='multipart/x-mixed-replace; boundary=frame')

if __name__ == '__main__':
 app.run(host='0.0.0.0', port=5000, threaded=True)

• io and picamera are used to interact with the Raspberry Pi's camera module.
• Flask is a micro web framework in Python, used here to handle web server operations.

• app = Flask(__name__) initializes the Flask application.

• This function interacts with the PiCamera to capture video frames.
• camera.resolution and camera.framerate are set to define the quality and frame rate of the video.
• It captures frames continuously in a loop using camera.capture_continuous.
• Each frame is converted to a JPEG image and formatted as a multipart message (a standard way to transmit binary data over HTTP). This allows each frame to be sent over the internet immediately after it's captured.

• The @app.route('/video_feed') decorator tells Flask that any HTTP request to the '/video_feed' URL should be handled by the video_feed function.
• The video_feed function returns a streaming response generated by generate_frames. The mimetype parameter tells the browser how to interpret the data it's receiving.

• The if __name__ == '__main__': block ensures that the web server is started only if this script is executed as the main program.
• app.run(host='0.0.0.0', port=5000, threaded=True) starts the Flask application. It listens on all public IPs (0.0.0.0) at port 5000 and handles requests in a separate thread for each incoming request, allowing multiple clients to view the stream simultaneously.

Conclusion