Pibooth

Abstract

1. Introduction

The pibooth project provides a photobooth application out-of-the-box in pure Python for Raspberry Pi. Have a look to the wiki _ to discover some realizations from GitHub users, and don't hesitate to send us photos of your version.

Here is a list of known plugins compatible with Pibooth

plugins developed by the community from PyPI _ or develop your own plugin.

2. Objective

The pibooth project provides a Photo Booth application out-of-the-box for Raspberry Pi and opencv compatible devices

This project demonstrates how Python, Raspberry Pi, OpenCV can be applied to a real-world Internet of Things (IoT) problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/pibooth/pibooth.git
cd pibooth

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add a mobile dashboard using Blynk or Firebase
• Store readings in a cloud database for history charts
• Add alerts via SMS / Telegram when thresholds are crossed

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which microcontroller / board and sensors are used and why?
2. How does the device send data (Wi-Fi, MQTT, HTTP, Bluetooth)?
3. Where is the sensor data stored and visualised?
4. How is power consumption managed?
5. How would you secure the device and its communication?

9. Source Code & License

This project is developed by pibooth and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.