Compoundpi

Abstract

1. Introduction

This project provides a means for controlling multiple cameras_ attached to Raspberry Pis_ all of which are attached to the same subnet. Broadcast UDP packets are utilized to permit near-simultaneous triggering of all attached cameras.

2. Objective

A project for controlling multiple Pi cameras simultaneously

This project demonstrates how Python, Raspberry Pi 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/waveform-computing/compoundpi.git
cd compoundpi

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 waveform-computing and published on GitHub under the GNU General Public License v2.0. Please follow the license terms and credit the original author when you use or modify this code.