Glossary

Near-Miss Detection

Near-miss detection protects workers by identifying unsafe events before they result in injury or damage.

What near-miss detection means in practice

AI Vision continuously monitors the workplace for events such as near-misses between workers and vehicles, unsafe access, or sudden unexpected or evasive movements. These events are often underreported in manual systems and checks, but can lead to critical  risks if not detected. By capturing near-misses automatically, organizations gain visibility into hidden risk patterns and can intervene before serious incidents occur.

Why near-miss detection matters for enterprise teams

  • Improves safety reporting accuracy
  • Enables proactive intervention
  • Reduces incident frequency over time
  • Captures leading indicators missed by audits

Related glossary terms

P

Predictive Safety

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