Summary:

A corporate campus with 5,000+ employees needed a modern access control system. The existing badge-based system created 2-3 minute wait times at entry points during peak hours and required significant manual administration. 

What We Delivered:

• Facial Recognition System with real-time, multi-face tracking

• Theft Detection Module using deep learning for suspicious pattern recognition

• HRMS Integration for automated access provisioning and deprovisioning

• Real-time Alert System for security incidents   

  
  

Business Outcomes:

• 60% reduced entry wait times

• 99.2% facial recognition accuracy

• 35% reduction in security incidents

• Eliminated manual access management overhead

  
  

Tech Stack:

• OpenCV

• TensorFlow

• Azure Face API

• Azure IoT Hub