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Measure true footfall, not inflated headcounts. Visylix Unique Person Counting combines person detection and tracking with in-memory de-duplication to deliver de-duplicated visitor counts that reflect actual engagement.
Visylix Unique Person Counting solves the fundamental challenge of distinguishing repeat visitors from new individuals by combining person detection and tracking with in-memory de-duplication embeddings. Unlike simple headcount models that inflate totals every time a person re-enters a camera's field of view, this model recognizes returning individuals within the counting window so each person counts once per configurable window (minute, hour, or day). The result is an accurate count of distinct individuals who visited during a given period — a metric critical for conversion-rate calculation, marketing attribution, and true footfall benchmarking. All processing is privacy-preserving and on-premise: embeddings are held in memory only for the active counting window and then discarded.
Engineered for accuracy, speed, and seamless integration into enterprise workflows.
Group likely repeat appearances across re-entries and multiple cameras using appearance embeddings, so a returning visitor is not counted twice within a time window. This is a statistical de-duplication for counting, not an identity assertion about any individual.
Set de-duplication windows from minutes to full-day periods to match your business counting conventions, whether hourly unique visitors or daily totals.
On-premise, in-memory de-duplication — embeddings are discarded after each counting window and nothing is stored or exported, supporting GDPR and CCPA compliance.
Distinguish first-time visitors from repeat visitors and measure visit frequency, providing both unique-visitor counts and return-rate metrics.
Aggregate counts from all entry points into a single de-duplicated site total, preventing double-counting when visitors use different doors or gates.
Generate hourly, daily, weekly, and monthly unique-visitor trend reports with year-over-year comparison capabilities for strategic planning.
Deployed across industries to deliver measurable value from day one.
Measure true store footfall for accurate conversion-rate calculation against point-of-sale transaction data, eliminating inflated headcounts that distort business metrics.
Provide verified unique-visitor counts to tenants for lease negotiations, marketing spend allocation, and performance benchmarking across mall zones.
Reconcile ticketed versus actual visitor numbers to detect undercounting, pass-sharing, or capacity leakage, and measure exhibit-level engagement accurately.
Count daily unique occupants across campus buildings for space planning, cleaning schedules, energy management, and emergency preparedness decisions.
Combine multiple models for comprehensive video intelligence coverage.
Discover how Visylix AI models can transform your video infrastructure into an intelligent, automated system.
Unlike simple headcount models that inflate totals every time a person re-enters a camera view, Visylix Unique Person Counting assigns temporary in-memory identities to recognize returning individuals within the counting window, delivering accurate de-duplicated visitor counts per camera by minute, hour, or day.
Yes. Visylix Unique Person Counting is privacy-preserving by design: all processing happens on-premise, de-duplication embeddings are held in memory only for the active counting window and then discarded, and no images, identities, or biometric templates are stored or leave your site — supporting GDPR and CCPA compliance programs.