Glossary

Detection

Risk detection refers to identifying unsafe conditions or behaviors using AI Vision in real time.

What detection means in practice

AI Vision detects hazards such as unsafe access, proximity risks, or blocked exits as they occur, enabling immediate response. Risk detection uses AI Vision to identify unsafe conditions, behaviors, or interactions as they occur across monitored environments. By continuously analyzing live video streams, the system can detect hazards such as unsafe access, proximity risks, blocked pathways, or PPE non-compliance in real time. Turning visual observations into immediate signals enables faster intervention and more consistent oversight. Detecting risk early helps organizations address issues before they escalate into incidents, supporting a proactive approach to safety management.

Why detection matters for enterprise teams

  • Prevents incidents
  • Improves response time
  • Captures leading indicators
  • Reduces risk exposure

Related glossary terms

N

Near-Miss Detection

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

Predictive Safety

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

Real-Time Safety Monitoring

Real-time safety monitoring uses AI Vision to detect hazards and unsafe conditions as they occur, enabling immediate response.
Read more