Back to Projects
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
Purpose
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.
Key Features
- Face Detection: Automatically finds and locates human faces.
- Data Augmentation: Data augmentation for improved generalization
- Recognition: recognize human face with their name.
Technology Stack
Architecture
Siamese CNN network
Backend
Python
Project Preview