Face Detection and Count

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

Purpose

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.

Instructions

To run the module, ensure you have the required dependencies installed:

pip install opencv-python

Run 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.