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Face Recognition - Attendance System
Facial recognition technology is crucial for security, authentication, and user verification applications. This project implements a CNN-based approach for face encoding, achieving robust performance under various lighting, orientation, and expression conditions.
CNNOpenCVDeep Learning
Project Overview
The Face Recognition Attendance System leverages convolutional neural networks (CNNs) to accurately identify and verify individuals based on their facial features. The system is designed to function effectively in real-world scenarios, handling variations in lighting, angles, and facial expressions.