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Machine Learning with Rock, Paper, Scissors, Lizard, Spock, Fire, Water Balloon @Raspberry_Pi #PiDay #RaspberryPi

via RaspherryPi.org

Use a Raspberry Pi and a Pi Camera Module to build your own machine learning–powered rock paper scissors game!

Here’s why you should always leave comments on our blog: this project from Julien de la Bruère-Terreault instantly had our attention when he shared it on our recent Android Things post.

Julien and his son were building a text-based version of rock paper scissors in Python when his son asked him: “Could you make a rock paper scissors game that uses the camera to detect hand gestures?” Obviously, Julien really had no choice but to accept the challenge.

“The game uses a Raspberry Pi computer and Raspberry Pi Camera Module installed on a 3D-printed support with LED strips to achieve consistent images,” Julien explains in the tutorial for the build. “The pictures taken by the camera are processed and fed to an image classifier that determines whether the gesture corresponds to ‘Rock’, ‘Paper’, or ‘Scissors’ gestures.”

See and learn more!


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