Skip to content

OpenCV application for the DJI Ryze Tello drone that uses face detection for movement tracking

License

Notifications You must be signed in to change notification settings

ahmedwab/TelloDrone_FaceTracking

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

TelloDrone Face Tracking

License: MIT

The TelloDrone_FaceTracking application uses openCV face detection along with djitellopy library in order to move the DJI Tello drone by detecting any face movement

Menu

Installing the Application

Clone this repository in the modules folder

git clone https://github.com/ahmedwab/TelloDrone-FaceTracking

Required Hardware:

Dji Ryze Tech Tello Quadcopter 720p Video Educational Drone (https://store.dji.com/product/tello)

Installing the Application

Ensure that you have the Latest Version of Python 3 installed. That could be retrieved from https://www.python.org/downloads/

Moreover, to install all the dependencies you can do the following

	cd TelloDrone-FaceTracking
	bash dependencies.sh

Running the application

To run the application, you must first connect your compputer to the tello wifi

Menu

Navigate to the folder

cd TelloDrone-FaceTracking

Then, you can run it using the following command

python3 face_tracking.py

Contributing

Contributing is greatly encouraged.

  1. Fork the Project
  2. Create your Feature Branch
  3. Commit your Changes
  4. Push to the Branch
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

About

OpenCV application for the DJI Ryze Tello drone that uses face detection for movement tracking

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published