The automatic hoop always goes in

Summary by Krater

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.