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machineLearningRoboticGripper

This project uses gestures to control a robotic gripper. The gestures are captured by a webcam. They are classifyed into basic commands and then transmitted via USB to a Arduino board, that translates them into action. The gestures are trainned by a deep learning neural network. The resulting model is used to predict the meaning of a gesture.

To learn more about this project, it is strongly suggested to visit the Wiki. This project has all documentation on it's wiki pages!

You can visit the project main page

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brasileiros: visitem wiki brasileiro

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A robotic gripper controlled trough gestures.

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