The automatic hoop always goes in
A video on YouTube. In Science & Engineering, a Krater category.
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The creator builds an automated basketball backboard that tracks ball trajectories using a Microsoft Kinect and computer vision, adjusting its position in real-time to direct missed shots into the hoop.
From the video
Answers: How do you build a robotic basketball backboard that makes every shot go in?
- Computer vision tracking
- Ball trajectory prediction
- Robotic basketball backboard
- Inverse kinematics
- Graph theory in projectile mapping
What it concludes
- Tracking a basketball's trajectory and predicting its landing spot in under 600 milliseconds requires managing significant processing and mechanical speed challenges.
- Using three motors allows for three degrees of freedom to fully define the backboard's plane in space.
- Applying graph theory and ballistic trajectory equations helps filter out false positives from computer vision data to accurately target the hoop.
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