Project Description Developed an AI-powered face recognition system that accurately detects and i...Project Description Developed an AI-powered face recognition system that accurately detects and i...
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UMAR ASHFAQ
• 16h
Project Description
Developed an AI-powered face recognition system that accurately detects and identifies individuals from images using deep learning. The system generates high-dimensional facial embeddings with the ArcFace model and compares them using cosine similarity for reliable recognition.
Designed for applications such as attendance systems, access control, identity verification, and smart surveillance, the solution provides fast and accurate face recognition with a scalable architecture.
Overview
The application automatically detects faces in images, extracts unique facial embeddings, and matches them against a database of known individuals to identify people with high accuracy.
Key Features
Face Detection using OpenCV
Face Recognition with ArcFace
512-Dimensional Face Embeddings
Cosine Similarity Matching
Efficient Embedding Storage
Support for Multiple Individuals
Scalable Recognition Pipeline
Optional Interactive Demo using Gradio
Technologies Used
Python
OpenCV
DeepFace
ArcFace
NumPy
Cosine Similarity
Jupyter Notebook
Git & GitHub
My Role
Designed and developed the complete face recognition pipeline, including:
Image preprocessing
Face detection
Feature extraction with ArcFace
Embedding generation
Identity matching using cosine similarity
Dataset organization
Model evaluation and testing
Business Applications
Employee Attendance Systems
Access Control & Security
Visitor Management
Identity Verification
Smart Surveillance
Photo Organization
AI Agent EngineerAI AutomationAI Engineer CondaJupyterVisual Studio Code
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