Gesture Controlled Robotic Arm

This project focuses on replicating your hand movements to the robotic arm through deeplearning model and openCV. So, no extra sensors are required except a laptop with a working webcam.

Robotic Arm

Convolutional Neural Network

Getting Strated

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

1. To install the dependencies, you need to install the following:

• python 3.7
• tensorflow
• tflearn
• openCV-python
• numpy
• py-serial
• scikit-learn

2. Install any arduino IDE and upload the code present in arduinoCode folder.

3. Run trainDeepNeuralNet.ipynb to train the neural network.

4. Finally run the runModel.ipynb to run the real time prediction.

Hardware

• Adafruit Motor Shield
• Arduino Uno
• Robotic Arm

Versioning

We use SemVer for versioning.

Contributing

Please feel free to contribute. We would love to see pull requests from you guys.

Authors

• Mankaran Singh
• Shivam Goyal
• Utkarsh Mishra
• Jaskeerat Singh