Face Recognition in Camera and Video

• Tech Stack: Python, Data Gathering, Opencv, Numpy, HaarCascade Files
• Github URL: Project Link

1. Trained a face recognition model using more than 50 images of the same person to increase accuracy and improve recognition.

2. Used haarcascade_frontal_face.xml file to train a haar cascade classifier for face detection on pictures, and LBPH face recognizer for unique characteristic extraction.

3. Conducted data gathering and trained the model for data comparison, enabling the model to determine who the person is in face recognition.