ML & AI

Face Mask Detection Application

Real-time face mask detection and access control application integrating camera and temperature sensor data for health safety compliance.

Role
ML Engineer
Duration
2 months
Client
National Center for Cyber Security (NCCS)

The Challenge

During the COVID-19 pandemic, the facility needed automated mask-wearing and temperature checks at entry points.

Approach & Solution

Trained a custom face mask detection model. Integrated with temperature sensors and IP cameras to create a unified access control system flagging individuals without masks or with elevated temperatures in real-time.

Results & Impact

  • Real-time detection with <100ms latency per frame
  • Integrated temperature sensor data for dual-check screening
  • Deployed at facility entry points during COVID-19
  • Eliminated need for manual mask enforcement staff

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