Near Miss: Definition, Examples & Why Reporting Saves Lives

What Is a Near Miss? (Definition)

A near miss — also written as 'near-miss' or 'near miss incident' — is any event where a hazard was present and harm nearly occurred, but was avoided by chance or last-minute intervention. Near misses are sometimes called 'close calls', 'near hits', or 'narrow escapes'.

According to OSHA, a near miss is an incident in which no property was damaged and no personal injury was sustained, but where, given a slight shift in time or position, damage or injury easily could have occurred.

Near Miss Examples in the Workplace

Near miss incidents occur across every industry. Common near miss examples include:

• A forklift narrowly avoids a pedestrian worker crossing its path in a warehouse

• A worker slips on a wet floor but grabs a handrail and avoids a fall

• A piece of equipment falls from height in a construction zone — no one is in the immediate area

• A chemical spill nearly reaches a drain before containment

• A scaffolding plank becomes unsecured but is noticed before anyone walks on it

• An electrical panel sparks but immediately trips the circuit breaker

Why Near Miss Reporting Is Critical

Heinrich's Triangle — one of the most widely studied safety models — shows that for every major injury, there are approximately 29 minor injuries and 300 near miss incidents. This means near misses are the largest, most actionable dataset available for preventing serious harm.

When organisations track and respond to near misses systematically, they can:

1. Identify patterns and root causes before a serious incident occurs

2. Correct hazards in the physical environment

3. Improve safety procedures and training

4. Build a proactive safety culture where workers feel empowered to report

5. Reduce TRIR (Total Recordable Incident Rate) and DART rates significantly

Near Miss vs Incident vs Accident: Key Differences

How AI and Computer Vision Transform Near Miss Detection

Traditional near miss reporting relies entirely on workers self-reporting — a process prone to under-reporting due to fear of blame, time pressure, or simply not recognising the significance of an event. AI-powered safety platforms like Safvr change this by:

• Automatically detecting near miss events using computer vision cameras — including forklift-pedestrian proximity alerts, blocked egress paths, and unsafe behaviours

• Logging near miss data in real time with timestamps, location, and video evidence

• Eliminating reporting friction by removing the need for manual observation entry

• Providing trend analysis dashboards showing recurring near miss locations and conditions

• Sending instant alerts to HSE managers when a near miss threshold is crossed

Near Miss Reporting Best Practices

1. Create a blame-free reporting culture — workers must feel safe reporting without fear of punishment

2. Use a standardised near miss report form (digital, mobile-friendly preferred)

3. Investigate every reported near miss within 24–48 hours

4. Identify root causes, not just proximate causes

5. Close the loop — communicate findings and corrective actions back to the team

6. Track near miss trends monthly — look for repeat locations, times, and task types

How Safvr Helps You Track and Prevent Near Misses

Safvr's AI-powered workplace safety platform automatically identifies and logs near miss events using computer vision — no manual reporting required. Key capabilities include:

• Real-time forklift-pedestrian proximity detection

• Blocked egress and emergency exit monitoring

• Slip, trip, and fall hazard detection

• Automated near miss incident reports with video evidence

• Trend dashboards and predictive risk scoring