Face Recognition

• Technology used : Open cv2 , Artificial Intelligence ,NLP ,Web-Development

▪ OpenCV Integration: Utilizes OpenCV library for real-time video capture and computer vision tasks, simplifying webcam integration and image processing.

▪ Haar Cascade Classifiers: Employs pre-trained Haar cascade classifiers for face and body detection, enabling efficient and accurate object recognition in images or video streams.

▪ Bounding Box Visualization: Draws bounding boxes around detected faces using cv2.rectangle(), facilitating visual representation of recognized faces within the video stream.

▪ Face Detection Algorithm: Utilizes the detectMultiScale() function for face detection, which efficiently locates faces within video frames based on predefined parameters like scaleFactor and minNeighbors.

▪ Real-time Processing: Performs face recognition in real-time, continuously analyzing video frames from the webcam and updating visual feedback until the user terminates the program.