Skip to content

Latest commit

 

History

History
16 lines (10 loc) · 822 Bytes

File metadata and controls

16 lines (10 loc) · 822 Bytes

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

internationalization

brasileiros: visitem wiki brasileiro