Python Face Recognition is a robust and versatile tool that leverages cutting-edge computer vision techniques to detect, recognize, and analyze faces in images or video streams. This project incorporates powerful libraries like OpenCV, dlib, and face_recognition to deliver functionalities ranging from basic face detection to attendance tracking using face recognition.
Features
Core Functionalities:
Face Detection: Accurately locate faces within images or video frames.
Face Recognition: Match detected faces with known individuals and label them accordingly.
Attendance System: Automatically mark attendance based on recognized faces and log timestamps.
Facial Encoding: Generate and store unique encodings for faces for efficient recognition.
Additional Features:
Real-time face tracking and analysis via webcam or video input.
Display recognition accuracy as a percentage for better interpretability.
Easy integration with external tools or applications through generated CSV attendance logs.
Installation
Prerequisites
Ensure Python 3.x is installed on your system. Additionally, install the following dependencies:
