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PROJECT #02

Face Recognition Application

This project was developed in Python using a ready-made model to recognize pre-recorded faces and display the recorded information about those faces. The user interface was created with the Tkinter library. This allows for easy management of the face recognition process and quick access to information about recognized faces.

Face Recognition Application

PROJECT OVERVIEW

This project was developed in Python using a ready-made model to recognize pre-recorded faces and display the recorded information about those faces. The user interface was created with the Tkinter library. This allows for easy management of the face recognition process and quick access to information about recognized faces.

A desktop face recognition application using OpenCV and Haar Cascade for detection. Features a user-friendly Tkinter GUI for training new faces and real-time recognition from webcam or image files.

KEY FEATURES

Real-time face detection from webcam
Face training for new users
Information display for recognized faces
Image-based face recognition
Simple Tkinter GUI interface
Local database for face encodings

PROJECT METRICS

85%
ACCURACY
RATE
<200ms
DETECTION
TIME
50+
FACES
TRAINED
25
FPS
CAMERA