Face Recognition & Tracking

Smarter Security. Seamless Experiences.

Modern retail demands more than just monitoring—it requires intelligent identification and real-time tracking to keep stores secure and customer experiences smooth.

Watchspire AI’s Face Recognition & Tracking turns ordinary cameras into smart vision systems. Identify, verify, and track individuals across store zones in real time—whether it’s for enhanced security, personalized service, or operational insights.

AI vision and insights for smarter decisions.

What Is Face Recognition?

Face recognition uses AI-powered computer vision to detect and verify human faces in a live video feed. Our system can identify individuals based on facial features, match them with pre-approved databases, and track their movement across your store.

Face tracking monitors an individual’s movement across camera zones after recognition. Whether for VIP service or potential threat detection, face tracking helps you respond with speed and precision. This allows you to:

  • Follow persons of interest in real time
  • Detect unusual behavior patterns
  • Monitor dwell time per individual
  • Analyze repeat visit frequency

Key Features

Enhanced Security

Identify blacklisted individuals or known shoplifters upon entry and receive instant alerts.

VIP Recognition

Recognize loyal customers and trigger personalized service when they walk in.

Repeat Visitor Analysis

Track visit frequency to better understand customer loyalty and traffic trends.

Behavior-Based Alerts

Detect irregular movement or loitering and get notified instantly.

Staff Monitoring

Verify staff presence, zone activity, and compliance with company policies.

AI vision and insights for smarter decisions.

Upgrade to Intelligent Identity

Face Recognition & Tracking adds a critical layer of intelligence to your retail environment—improving safety, personalization, and operational awareness without needing new hardware.

See how your existing cameras can do more. Book a live demo with our AI specialists today.