https://github.com/healeycodes/raspberry-pi-live-cam

Build a live cam 📷 with your Raspberry Pi and Pi Camera! Powered by Flask ⚗️. Robust through laziness.
https://github.com/healeycodes/raspberry-pi-live-cam

flask python raspberry-pi

Last synced: 14 days ago
JSON representation

Build a live cam 📷 with your Raspberry Pi and Pi Camera! Powered by Flask ⚗️. Robust through laziness.

• Host: GitHub
• URL: https://github.com/healeycodes/raspberry-pi-live-cam
• Owner: healeycodes
• Created: 2019-03-17T13:08:45.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-03-20T00:43:24.000Z (over 3 years ago)
• Last Synced: 2024-10-04T20:33:10.256Z (about 1 month ago)
• Topics: flask, python, raspberry-pi
• Language: Python
• Homepage:
• Size: 431 KB
• Stars: 5
• Watchers: 1
• Forks: 5
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
## Raspberry Pi Live Cam

![My Pi!](https://github.com/healeycodes/Raspberry-Pi-Live-Cam/blob/master/my-pi-320.png)

This repository hosts all the files for my coding [tutorial](https://healeycodes.com/python/raspberrypi/beginners/webdev/2019/03/18/raspberry-pi-live-cam.html) on building a live cam with your Raspberry Pi.

- Flask Web App: `app.py`

- Raspberry Pi Script: `camera.py`




There's also a camera benching script `benchcamera.py` that was used during testing.

- 7.5fps at 720p - JPEG 100 quality.




#### Web App

Install dependencies `pip install -r requirements.txt`. Set the password for the image upload route `PASSWORD='123'`.

Test the app locally with `FLASK_APP=app.py flask run`. See the Flask [docs](http://flask.pocoo.org/) for hosting on a web server.




#### Raspberry Pi

No `requirements.txt` as it may depend on your distro - although, this should be bulletproof. Install dependencies `pip install picamera requests`. Edit the `url` variable in `camera.py` to your Flask app's address/port.

There are also some commented variables for adjusting resolution and capture rate (use `time.sleep` for highest accuracy).

The Raspberry Pi side of things works fine in testing with Python 2.7 but was written for Python 3.

Run with `python camera.py`. 




#### Possible Improvements

Some thoughts to improve the project but make it a worse tutorial.

- Upload images via WebSocket (save bandwidth and latency).

- Use a safe compare function for password checking to avoid timing attacks.

- Serve images to clients over WebSocket as they arrive (same as above).

- Use Flask for uploading images, serve images as a static file via HTTP server (scales infinitely).

- When receiving images, scale them to different resolutions (e.g., `/live800x600.jpeg`).




📷




#### License

Standard MIT.