Glossary

Anomaly Detection

Anomaly detection identifies unusual or unexpected visual patterns that may indicate emerging risk.

What anomaly detection means in practice

In operational environments, anomaly detection uses AI Vision to learn what standard, ‘normal’ activity looks like across people, vehicles, and processes. When patterns deviate, such as unusual movement, unexpected congestion, or abnormal equipment interaction, the system flags these anomalies automatically. For enterprise teams, anomaly detection helps surface emerging risks that are not yet clearly defined as specific hazards. This provides early warning of changing conditions, process breakdowns, or safety drift, enabling investigation and intervention before incidents occur.

Why anomaly detection matters for enterprise teams

  • Detects unknown risk scenarios
  • Supports predictive safety
  • Improves early intervention
  • Consistency of detection across sites

Related glossary terms

P

Predictive Safety

Predictive safety uses leading indicators to anticipate and prevent future incidents.
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