Download IVISION Catalog
01Prepare the view
Capture both approaches and the interaction aftermath.
Review possible vehicle–person near misses
A near-miss assessment needs relative motion, timing and scene context. Validate the analytical criteria and review the footage before recording a confirmed event or attributing responsibility.
Catalog workflow. Confirm detector availability, permitted use and event delivery for the proposed deployment. Website examples are illustrative.
Assess near-miss review
Example
Without IVISIONStandard CCTV feed
With IVISIONIllustrative event overlayThe Process
How It Works
Look at the sequence, not just closeness Turn a candidate encounter into a documented safety review.
01
02Assess the observation
Validate tracking continuity and relative-motion criteria.
03Review the evidence
Review the candidate sequence with site traffic rules.
04Choose a response
Confirm the event with responsible staff and identify practical corrective actions.
Explore Your Options
Explore Related Capabilities
| Dimension |  Vehicle-person near-miss detection |  Vehicle-person proximity detection |
|---|---|---|
| Observation |  Close person/vehicle paths with a possible evasive or conflict pattern. | A visible person and vehicle within an agreed monitored separation. |
| Event criteria | A supported temporal analysis meets validated interaction criteria. | A supported model meets a validated proximity criterion. |
| Monitoring setup | Confirm trajectory thresholds, timing and event boundaries. | Confirm calibration, zones, moving/stationary treatment and exclusions. |
| What it cannot establish | Cannot prove fault, inevitable collision or injury avoidance. | Cannot prove collision risk or a measured distance without suitable calibration. |
| Practical outcome | Help safety teams examine the sequence around a narrowly avoided conflict. | Focus review on mixed-traffic interactions. |
Illustrative demonstration
Review The Event.
Understand The Context.
Example footage and simulated events explain the review workflow. They do not measure detector performance.
Sites overview
Example Activity
No matching events.
Related Scenarios
View More
People EventsVehicle-person proximity detection
Review separation independently of near-miss classification.
Read More
People EventsCollision-risk estimation
Distinguish predictive criteria from retrospective event review.
Read More
People EventsPedestrian-pathway monitoring
Check whether designated routes contributed to the encounter.
Read MoreEXPLORE WHAT’S POSSIBLE
What Can You Do With Vehicle-person near-miss detection?
01 / 04 · VEHICLE-PERSON NEAR-MISS DETECTION
Warehousing
A pedestrian and forklift converge.
Example event: One changes course near the intersection.
Operator response: Review visibility and right-of-way practice.
Practical value: Supports focused prevention planning.
Discuss this capability
02 / 04 · VEHICLE-PERSON NEAR-MISS DETECTION
Distribution
Workers move around reversing vehicles.
Example event: Paths converge then separate closely.
Operator response: Check task coordination and spotter procedures.
Practical value: Identifies coordination issues.
Discuss this capability
03 / 04 · VEHICLE-PERSON NEAR-MISS DETECTION
Manufacturing
A pause may resemble evasive braking.
Example event: A close sequence is flagged.
Operator response: Check whether the pause was planned.
Practical value: Avoids unsupported incident classification.
Discuss this capability
04 / 04 · VEHICLE-PERSON NEAR-MISS DETECTION
Deployment review
Include enough lead-in to assess motion.
Visibility: Missed tracks can distort trajectories.
Configuration: Verify temporal model, calibration and review definitions.
Privacy: Restrict footage to authorized safety review.
Human review: Confirm near-miss classification and avoid automated blame.
Discuss this capability
Frequently asked questions
Vehicle-person near-miss detection, Explained.
Flags a close interaction whose visible paths may indicate a near-collision candidate.
Is every close encounter a near miss?
No. Planned, separated or stationary interactions may be harmless.
Can it assign fault?
No. Responsibility requires investigation and relevant evidence.
Why retain preceding frames?
They show approach direction and whether behavior changed.
Can it guarantee a warning before impact?
No predictive timing or prevention guarantee is supported.
Find your fit
What are you trying
to achieve?
Help safety teams examine the sequence around a narrowly avoided conflict. For Safety investigators, Logistics managers.
Workflow to discuss
Vehicle-person near-miss detection + Preserve approach and aftermath context.
