De-duplicated visitor counting combining person detection with Re-ID embeddings for accurate footfall analytics that reflect actual engagement, not inflated headcounts.
Visylix Unique Person Counting combines person detection with Re-Identification embeddings to deliver de-duplicated visitor counts that reflect actual engagement rather than inflated headcounts. This AI model solves the challenge of distinguishing repeat visitors from new individuals across camera feeds. It uses anonymous appearance embeddings instead of facial biometrics, ensuring GDPR and CCPA compliance. The system segments new versus returning visitors, consolidates counts across multiple entrances, and generates trend reports with hourly, daily, weekly, and monthly granularity with year-over-year comparison capabilities.
Core capabilities of the Unique Person Counting model.
Recognizes returning individuals across re-entries and multiple cameras using deep metric learning, ensuring each person counts only once per time window.
Allows de-duplication settings from minutes to full-day periods to match various business counting requirements and reporting needs.
Uses anonymous appearance embeddings instead of facial biometrics, ensuring GDPR and CCPA compliance without compromising counting accuracy.
Distinguishes first-time visitors from repeat visitors and measures visit frequency for loyalty analysis and marketing effectiveness.
Aggregates counts from all entry points into a single de-duplicated total, preventing double-counting across facility entrances.
Generates hourly, daily, weekly, and monthly reports with year-over-year comparison capabilities for long-term business intelligence.
Pairs unique visitor counts with POS transaction data to calculate accurate conversion rates for retail and hospitality venues.
Provides live unique visitor counts on dashboards and digital signage for operational awareness and capacity management.
Real-world applications for Unique Person Counting.
Measures true store footfall for accurate conversion-rate calculations against sales data, enabling data-driven merchandising decisions.
Provides verified unique-visitor counts for tenant lease negotiations, performance benchmarking, and marketing campaign evaluation.
Reconciles ticketed versus actual visitor numbers to detect undercounting and optimize capacity planning for exhibitions.
Counts daily unique occupants for space planning, energy management, cafeteria capacity, and transportation shuttle scheduling.
Tracks unique attendee counts at trade shows, conferences, and marketing events to calculate per-visitor cost and engagement metrics.
Performance and deployment details.
Add Unique Person Counting to your video pipeline in minutes.
Assign the model to specific cameras with zone definitions and sensitivity settings through the web UI or API.
The model processes video frames in real time, generating structured detection events with bounding boxes and metadata.
Receive instant alerts via webhooks, trigger automated workflows, or query detections through the REST API.
See how Unique Person Counting is applied across different sectors.
Explore other computer vision capabilities.
Talk to our team to see this model in action on your video feeds.