Face Recognition

Real-time Face Recognition at the Edge

Fast, reliable face detection, recognition, tracking, and quality assessment — engineered for robust visual feature extraction at the edge.

Core Capabilities

From face images to reliable identity features

FD

Face Detection & Recognition

Detect faces in real time and identify known or enrolled identities with an edge-optimized recognition pipeline.

FQ

Face Quality Assessment

Evaluate face images before recognition to determine whether the visual information is suitable for reliable matching.

FT

Face Tracking & Matching

Track faces across frames and maintain efficient identity matching for real-time edge processing.

How it works

Imaging → Face Feature Extraction → Recognition

Imaging

Capture face images with sufficient quality for downstream recognition.

  • Exposure
  • Sharpness
  • Resolution
  • Face size
  • Motion
  • Image quality

Face Feature Extraction

Detect, align, assess, and extract discriminative facial features.

  • Detection
  • Alignment
  • Quality Assessment
  • Feature Extraction
  • Embedding

Recognition

Match extracted features against enrolled identities.

  • 1:1 Verification
  • 1:N Identification
  • Identity Matching

Engineering

Engineered for real-time edge deployment

Low-latency processing Hardware-accelerated inference Memory-efficient pipeline Multi-stream processing Real-time tracking

Applications

Where recognition is applied

Identity Verification Person Identification Access Control Attendance Watchlist Screening

Get Started

See Face Recognition in Action

Explore the real-time recognition pipeline or discuss your application with us.