This repository demonstrates using OpenCV with the TelloEDU mini drone or a computer's web camera to perform facial detection and keep track of the number of faces detected at a given time.
Author: Jacob Pitsenberger Date: 10/16/23
This repository showcases how to utilize OpenCV for real-time facial detection using the TelloEDU mini drone's camera or a computer's webcam. It detects faces in the camera stream and draws rectangles around them, along with counting the number of faces detected.
To run the module, ensure you have the required dependencies installed:
pip install opencv-pythonRun the script detect_faces_webcam.py and observe the facial detection over your computers internal webcam stream.
Run the script detect_faces_tello.py and observe the facial detection over your Tello drones video stream.
Both scripts utilize the FrontalFaceDetector class from the frontal_face_detector.py which utilizes the haarcascade_frontalface_default.xml from the data-files folder of the FaceDetection package to perform facial detections and draw them over our video stream frames.