De-duplicated visitor counting that combines person detection and tracking with in-memory de-duplication for accurate footfall analytics, not inflated headcounts.
Visylix Unique Person Counting combines person detection and tracking with in-memory de-duplication embeddings to deliver de-duplicated visitor counts that reflect actual footfall rather than inflated headcounts. Each detected individual is recognized on re-entry within the counting window so they count only once per configurable window (minute, hour, or day). All processing happens on-premise: embeddings are held in memory only for the active window and then discarded, and trend reports are generated per camera with hourly, daily, weekly, and monthly granularity.
Core capabilities of the Unique Person Counting model.
Recognizes returning individuals within the counting window, ensuring each person counts only once per configurable window.
Allows de-duplication settings from minutes to full-day periods to match various business counting requirements and reporting needs.
All processing is on-premise; de-duplication embeddings are held in memory only for the active window and then discarded — nothing is stored or exported.
Clean de-duplicated counts per window give reliable footfall trends for marketing effectiveness and conversion analysis.
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.