Face Detection and Tracking with Dji Tello drone

This is an implementation of face detection and tracking on the dji Tello drone based on a HAAR Cascade using OpenCV and Python 3.6.

The current implementation allows the user to:

• Launch the drone through the command line using python main.py
• Receive video feed from the drone to the computer and visualize the face detection carried out by the drone

It allows the drone to:

• Detect multiple faces at any given frame
• Position the user at the center of any shot by deciding the best movement based on the users x, y and z coordinates

Note: Current implementation allows only tracking of 1 user.

Quick Start

To initialize your drone and get it up and running, simply clone the repository and download its dependencies with:

pip install -r requirements.txt

Afterwards, connect to the drones wifi and run:

python main.py

This will make the drone take off and initialize a video feed directly from the drone to your computer.

Next Steps

• Fix warning messages when executing the command and waitning for drone video feed
• Support drone centering with multiple users in a shot
• Optimize code for better video performance
• Implement trainable model for face recognition into the detection process (Follow just certain faces)