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Drone-commandor for tello drone

The Drone-commandor is a software package to control a tello drone with by gesture detected by handpose model from TensorFlow.js. Gestures include thumbs up for starting, thumbs down for landing, and victory for a backflip. Additionally, you can control the drone through a web interface and view information about battery, flying state and flight attitue. image

Installation

  • execute npm i in the directories backend and frontend
  • start frontend and backend with npm start
  • open the app with http://localhost:3000
  • make sure you are connected to the internet, that the app can load the hand pose model
  • to control the drone make sure the device where the project is running on is connected with the WIFI of the drone

Architecture

Drone Architecture (2)

  • The frontend detects hand gestures based on the video feed of the connected camera and the hand pose model from TensorFlow.js.
  • With TensorFlow.js the hand detecting is done in the browser and not in the backend
  • The tello drone offers an API to control the drone via text commands through a UDP socket connection.
  • Drone commands initiated by the frontend are sent to the backend via a websocket and connection and will then be forwarded to the drone via the UDP socket connection.

Improvement

Instead of gesture control the body segmentation model could be more reliable which is also available in TensorFlow.js.

Potential use cases in education

  • offer a drag and drop kit for building a sequence of flying controls
    • User can fly with the sequences through a parkour
    • Possible controls should be takeoff, land, up, down, left, right, rotate, frontflip, backflip
  • Tello EDU offers advanced commands in the API kit. The drone recognizes additional mission pads which may offer more programming accuracy.

References

https://dl-cdn.ryzerobotics.com/downloads/tello/20180910/Tello%20SDK%20Documentation%20EN_1.3.pdf https://github.com/tensorflow/tfjs-models/tree/master/handpose

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