Biometric Face Recognition & Presence Monitoring
Industrial Checkpoints
How biometric entry checkpoints and cabin safety lines deployed secure, fully local face detection and recognition utilizing RetinaNet and ArcFace.
Process Visualization
The Challenge
Managing workforce attendance and cabin presence at remote, confidential construction sites suffered from buddy-punching, card loss, and slow check-ins. Due to corporate confidentiality, site location safety, and lack of external connectivity, cloud biometric platforms could not be utilized.
The Solution
We built an on-premise face recognition pipeline. It utilizes RetinaNet for fast local face detection and ArcFace to represent faces as 512-dimensional vector embeddings, matching them against local site databases with high precision.
Implementation
Edge terminal hardware setup and camera installation at checkpoints
Development of the offline enroll app with 512-dimensional vector mapping
Optimization of ArcFace embeddings matcher for edge CPU nodes
Cabin continuous-loop tracking configuration and validation
Deployment and local network database syncing setup
Impact & Results
Operational Impact
- Buddy-punching completely eliminated from checked locations
- 99.7% biometric verification accuracy with under 300ms match speed
- Continuous cabin presence monitoring flagging safety compliance in real-time
Business Impact
- 30% reduction in attendance tracking overhead and card replacement costs
- Automated, tamper-proof logs for project compliance audits
- Eliminated recurring third-party cloud subscription fees
Strategic Impact
- Biometric records stored fully locally under complete corporate custody
- Scalable biometric edge framework reusable on future remote worksites
- Enhanced security posture for confidential industrial projects