Automate Game Scorekeeping with Vision AI

Willem Zook describes his journey of developing a computer vision model to automate scorekeeping in cornhole games, aiming to resolve family disputes over scoring. Using a makeshift setup in his small NYC apartment, he utilized cardboard and socks to simulate the game and recorded videos to train the model with Roboflow. Challenges such as perspective distortion and lighting issues were overcome by repositioning the camera and improving image contrast, resulting in a model that effectively detects and scores game elements. Zook built a workflow that processes video frames to identify the positions of the beanbags and calculate scores in real time, ultimately creating a reliable score tracker that prevents cheating accusations during games.

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