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Computer Vision
Face Recognition System
Overview
A robust face recognition system capable of identifying individuals in real-time streams and static images. Designed for security and attendance applications, it handles varying lighting conditions and poses with high reliability.
The Problem
Traditional access control systems like ID cards are easily lost or shared. Existing biometric solutions can be expensive or slow to process large groups of people.
The Solution
We built a lightweight yet powerful face recognition pipeline using MTCNN for detection and FaceNet for embedding generation. The system matches faces against a known database using Euclidean distance, achieving high accuracy with low latency.
Key Features
- Real-time Face Detection & Recognition
- Multi-face processing support
- Anti-spoofing measures (Liveness detection)
- Attendance logging database
- Admin management portal
Tech Stack
PythonOpenCVTensorFlowKerasFaceNetPyTorch