Play Rock Paper Scissors agains the Arduino UNO Q!

Arduino® UNO™ Q 2GB

Edge Impulse Studio

Webcam, Logitech® HD Pro

<html><body><h3>Can You Beat the Arduino UNO Q playing Rock Paper Scissors?</h3>When I was a child I loved the game Rock Paper Scissors. Did you? This is the reason why I built a real-time Rock-Paper-Scissors game powered by Edge Impulse and the Arduino UNO Q!The camera connected to your Arduino UNO Q watches your hand gestures using a custom object detection model, while the UNO Q randomly chooses its move. Think you can beat the machine?&lt;img src="https://github.com/user-attachments/assets/4a424e48-33d7-4b16-a3ca-eb47b1708bb3" alt="Playing Rock Paper Scissors against Arduino UNO Q" width="800"&gt;This project is a fun way to explore Edge AI on the powerful Arduino UNO Q using the new Arduino App Lab.<h3>What You’ll Need</h3>### Hardware:* Arduino UNO Q board* USB camera (webcam)### Software:* Arduino App Lab (latest version)* Edge Impulse account (free)Recommended Model:We will use this public Edge Impulse project as a starting point: <a href="https://studio.edgeimpulse.com/public/903134/live">Rock Paper Scissors – Public Project</a>Clone it and retrain it with your own images for better accuracy under your lighting conditions.<h3>Step 1: Transfer the Application</h3>Clone <a href="https://github.com/edgeimpulse/example-rock-paper-scissors-Arduino-UNO-Q">this repository</a>:`git clone https://github.com/edgeimpulse/example-rock-paper-scissors-Arduino-UNO-Q.git`In Arduino App Lab, go to My Apps and click Create new App (or copy the example using the “Copy and edit app” button).Transfer the app folder to your UNO Q (via SSH or App Lab import):`scp -r Rock-Paper-Scissors-Arduino-UNO-Q/ arduino@&lt;device-ip&gt;:/home/arduino/ArduinoApps/RPS-game`<h3>Step 2: Train or Import Your AI Model</h3>* Open your app in Arduino App Lab.* Click on the Video Object Detection brick.* Go to the AI models tab and click Train new AI model.* Log in with your Arduino account (this also connects to Edge Impulse).- Train a new model from scratch, or- Clone the public Rock Paper Scissors project and retrain it with your own hand gesture photos.<figure><img src="https://projects.arduinocontent.cc/c7033c94-6601-44ed-b00c-c4b38ce80f4c.png"/><figcaption></figcaption></figure>Once trained, deploy the model for Arduino UNO Q (or Linux aarch64).The new model will appear in the AI models list. Select it and click Install.<figure><img src="https://projects.arduinocontent.cc/4b4b6cc2-8f6b-4a8a-acca-f7e46d84a17a.png"/><figcaption></figcaption></figure>Your custom model is now linked in the `app.yaml` file automatically.<h3>Step 3: Run the Game</h3>In Arduino App Lab, go to My Apps, select your Rock Paper Scissors app, and click Run.Or via SSH:`arduino-app-cli app start user:rock-paper-scissors-game`Open your browser and go to:`http://&lt;your-uno-q-ip&gt;:5001`Time to play! Good luck!<h3>How to Play</h3>* Show your hand gesture (rock, paper, or scissors) to the camera.* Watch the left panel — the Edge Impulse model detects your move in real time.* Click Play Round to lock in your choice.* The Arduino UNO Q picks a random move… and the winner is revealed!Need help? Join the <a href="https://discord.gg/edgeimpulse">Edge Impulse Discord</a> or post on the <a href="https://forum.edgeimpulse.com">Edge Impulse Forum</a>.<h3>Disclaimer</h3>This project is for educational and entertainment purposes only. Have fun, but don’t take the game too seriously — the Arduino might be better at Rock-Paper-Scissors than you think! 😉</body></html>

Play Rock Paper Scissors agains the Arduino UNO Q!

Are you ready to play against your Arduino?