Anti Spoofing/Liveliness Detector

Artificial Intelligence - Computer Vision Project

This project aims to develop an Anti-Spoofing/Liveliness Detector using computer vision techniques. The application detects real faces in a video stream and classifies them as either genuine or spoofed. Spoofed faces can include printed photos, masks, or other non-real representations.

Table of Contents

• Features
• Technologies Used

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Features

• Real-time face detection using OpenCV and cvzone library.
• Classification of faces using YOLO (You Only Look Once) object detection algorithm.
• Differentiates between real and fake faces with confidence scores.
• Dataset splitting for training, validation, and testing.

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Technologies Used

• Python
• OpenCV
• cvzone
• YOLO (You Only Look Once)
• Ultralytics
• shutil
• os
• random
• time