Facial Recognition for Staff Monitoring

Real-time facial recognition pipeline with 90%+ accuracy at 25 FPS using Milvus vector database

Overview

Designed and deployed a facial recognition pipeline for enterprise staff monitoring, optimized for high accuracy and real-time performance at scale.

Technical Details

Technologies Used

  • Deep Learning: Face detection and embedding models
  • Vector Database: Milvus for efficient similarity search
  • Hardware: GPU 5070Ti optimized
  • Processing: Real-time video stream analysis

Key Features

  • High-accuracy face embedding extraction
  • Vector similarity search for fast identification
  • Scalable architecture for large employee databases
  • Real-time video processing pipeline

Results & Impact

  • >90% accuracy on face recognition
  • 25 FPS real-time processing on GPU 5070Ti
  • Efficient similarity search via Milvus vector database
  • Scalable for large number of employees