Accurate, all devices,
at all times

A structured approach to accuracy built for real deployments, long-term reliability, and business-ready data.

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Accuracy Framework

Pro2 accuracy is an inherent capability of the system. It is delivered through measured metrics, environmental resilience, transparent validation, and continuous integrity monitoring, ensuring data remains business‑usable across locations, conditions, and time.

Measured & Verifiable Metrics

Measured, Verifiable Operational Metrics

Pro2 produces a comprehensive set of operational metrics. Each metric is quantifiable, inspectable, and verifiable, providing a reliable basis for business analysis rather than a single headline accuracy figure.

Measured metrics include:

  • Footfall (in / out)
  • Staff exclusion
  • Returning visitor identification (device‑based, future‑ready)
  • Group size detection
  • Demographics (age, gender)
  • Engagement rate
  • Queue length and queue dwell
  • Zone‑level traffic metrics

These metrics form the foundation of accuracy by enabling validation, cross‑checking, and contextual interpretation.

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Accurate in All Environments

Resilient Across Operational Environments

Pro2 is designed to maintain consistent accuracy across diverse and imperfect environments. By combining spatial understanding, behavioural analysis, and historical context learning, accuracy remains stable beyond controlled conditions.

Pro2 performs reliably in:

  • Low‑light and night environments
  • High‑density and crowded flows
  • Large coverage areas
  • Partial occlusion from trolleys, shelving, or fixtures
  • Low‑ceiling and high‑ceiling installations
  • Semi‑outdoor and transitional entrances

Environmental resilience is essential for industrial deployments where conditions vary and cannot be optimised for analytics alone.

Footfallcam Pro2 - Auto tuning using built-in AI

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Explainable & Verifiable Accuracy

Explainable, Transparent, Business‑Ready Accuracy

Pro2 accuracy is transparent and explainable through a structured validation workflow. Performance can be reviewed against SLAs, contextual factors can be examined, and outcomes assessed collaboratively to determine business usability.

The validation workspace provides:

  • Continuous visibility of accuracy status
  • Trend and variance inspection over time
  • Zone‑ and device‑level drill‑down
  • Supporting evidence for review and discussion

What the system observes is visible to stakeholders, enabling informed decisions rather than blind trust.

Footfallcam Pro2 - Auto tuning using built-in AI

Consistency & Data Integrity

Continuous Accuracy Monitoring & Integrity

Pro2 autonomously monitors accuracy and consistency across all devices and metrics. Automated rules, environmental signals, and model benchmarks detect deviations early, preventing substandard or anomalous data from influencing downstream analytics or decisions.

Key integrity functions include:

  • Accuracy and consistency monitoring across device fleets
  • SLA threshold evaluation
  • Drift and anomaly detection
  • Automated alerts and escalation
  • Corrective and mitigation workflows

This ensures that data quality is actively protected throughout the system lifecycle.

Footfallcam Pro2 - Auto tuning using built-in AI

Related Documentation

Designed for Business Use

Pro2 accuracy is measurable, verifiable, and continuously protected. By combining metric depth, environmental resilience, transparent validation, and automated integrity monitoring, Pro2 delivers data that organisations can rely on for operational and strategic decision‑making at scale.