Operational Modes of Facial Recognition Motherboards: Security Screening vs. Attendance Tracking

Modern facial recognition systems have diversified across payment authentication, financial services, and workforce management. The differentiation between security screening** and attendance tracking implementations stems from hardware configurations and algorithmic architectures.

Core Technology Differentiation
- 2D Recognition:
  Basic verification using RGB camera captures
  Typical accuracy: 95-98% (ISO/IEC 19794-5 compliant)
- 3D Biometrics:
  Depth-sensing via structured light/ToF sensors
  Measures 3D facial contours (interpupillary distance, nasal bridge height)
  Accuracy threshold: ≥99.3% (FAR<0.001%)

Authentication Modes & Deployment Scenarios

1:1 Verification (One-to-One)
- Use Cases:
  Financial transactions (face pay)
  Hotel check-in biometric binding
  High-stakes identity verification (examinations/forensics)
- Technical Requirements:
  Static capture protocol (3-5s dwell time)
  Liveness detection (anti-spoofing Class B)
  Cross-referenced with government-issued IDs

1:N Identification (One-to-Many)
- Implementation Framework:
  Enterprise attendance systems (500-10,000 employee databases)
  Smart building access control
- Performance Metrics:
  Search latency: <1.2s @ 10k records
  Accuracy degradation: 5-10% vs. 1:1 mode
  Requires optimized face indexing algorithms

M:N Matching (Many-to-Many)
- High-Throughput Applications:
  Mass transit hubs (real-time watchlist screening)
  Event venues (crowd flow analytics)
- System Design Considerations:
  Dynamic capture capability (subjects in motion)
  Edge computing nodes for distributed processing
  Adaptive illumination compensation (0-100,000 lux)
  Multi-angle face tracking (±45° yaw/pitch)

Hardware Configuration Guidelines
         Application                 Sensor Type           Processing Power       Compliance Standard   
  Security Screening       Dual 3D cameras            8 TOPS NPU           NIST FRVT Ongoing     
Attendance Tracking|      IR-enhanced 2D             4 TOPS VPU        ISO/IEC 30107-1 Level 2 

This operational taxonomy enables system integrators to align motherboard selection with vertical-specific requirements, balancing accuracy thresholds and throughput demands.