I Built a CoPilot+ AI PC (without Windows)

Introduction

In this tutorial, we will guide you through the process of building a CoPilot+ AI PC using the Raspberry Pi AI Kit. This project leverages the capabilities of AI and demonstrates how you can create a powerful AI computing environment without relying on Windows. Whether you're a hobbyist or a tech enthusiast, this setup allows you to explore AI applications using modern components.

Step 1: Gather Necessary Components

To get started, you'll need the following components:

• Raspberry Pi (preferably model 5)
• Raspberry Pi AI Kit ($70)
• Cameras (compatible with Raspberry Pi)
• M.2 PCIe expansion card (like the Alftel 12-slot card)
• Necessary cables and power supply

Practical Tips

• Ensure your Raspberry Pi is up to date with the latest firmware and software.
• Check compatibility for each component before purchasing.

Step 2: Set Up the Raspberry Pi

1. Install the Operating System

   • Download the latest Raspberry Pi OS from the official website.
   • Use software like Balena Etcher to flash the OS onto a microSD card.

2. Boot Up the Raspberry Pi

   • Insert the microSD card into the Raspberry Pi.
   • Connect your monitor, keyboard, and power supply, then boot up the device.

3. Configure the Raspberry Pi

   • Follow the on-screen instructions to configure your Pi.
   • Connect to Wi-Fi and update your system using the command:

     sudo apt update && sudo apt upgrade -y
     

Common Pitfalls

• Avoid using a low-quality power supply as it can lead to performance issues.

Step 3: Install the AI Kit

1. Connect the AI Kit

   • Follow the official documentation to connect the AI Kit to your Raspberry Pi.
   • Ensure all connections are secure to avoid any hardware issues.

2. Install Required Libraries

   • Use the terminal to install necessary libraries for AI functions:

     sudo apt install python3-pip
     pip3 install numpy opencv-python
     

3. Test the Installation

   • Run a sample script provided in the AI Kit documentation to ensure everything is functioning correctly.

Step 4: Configure Cameras

1. Connect Cameras

   • Attach your cameras to the Raspberry Pi using USB or GPIO pins as required.

2. Test Camera Functionality

   • Use the following command to check camera connections:

     raspistill -o test.jpg
     

   • Verify if the test image saves successfully.

Step 5: Implement AI Models

1. Choose Your AI Model

   • Decide on the AI model you want to use for your project (e.g., YOLO for object detection).

2. Clone Example Repositories

   • For models like Hailo, clone the repository:

     git clone https://github.com/hailo-ai/hailo-rpi5-examples
     

3. Run Example Scripts

   • Navigate to the cloned directory and run the example scripts to see the AI in action.

Step 6: Explore Additional AI Options

• Investigate other AI options such as Google Coral TPUs or additional Raspberry Pi accessories that can enhance your project.
• Check out community resources and forums for support and inspiration.

Conclusion

You've successfully built a CoPilot+ AI PC using a Raspberry Pi! This setup opens up numerous possibilities for exploring AI applications. Next steps could include experimenting with different AI models, adding more functionality, or integrating other hardware. Keep learning and innovating with your new AI-powered setup!