Download IVISION Catalog
01Prepare the view
Cover the interaction area with useful ground-plane visibility.
Review close vehicle–person interactions
Image distance is not automatically physical distance. Assess calibration, vehicle paths and occlusion so a proximity candidate can be reviewed with direction and task context before deciding whether it was unsafe.
Catalog workflow. Confirm detector availability, permitted use and event delivery for the proposed deployment. Website examples are illustrative.
Assess proximity criteria
Example
Without IVISIONStandard CCTV feed
With IVISIONIllustrative event overlayThe Process
How It Works
Define separation for the actual camera view Find interactions worth a traffic-safety review.
01
02Assess the observation
Validate person/vehicle tracking and any distance conversion.
03Review the evidence
Review relative movement and physical barriers in the source footage.
04Choose a response
Investigate the interaction and apply the established traffic procedure.
Explore Your Options
Explore Related Capabilities
| Dimension |  Vehicle-person proximity detection |  Vehicle-person near-miss detection |
|---|---|---|
| Observation |  A visible person and vehicle within an agreed monitored separation. | Close person/vehicle paths with a possible evasive or conflict pattern. |
| Event criteria | A supported model meets a validated proximity criterion. | A supported temporal analysis meets validated interaction criteria. |
| Monitoring setup | Confirm calibration, zones, moving/stationary treatment and exclusions. | Confirm trajectory thresholds, timing and event boundaries. |
| What it cannot establish | Cannot prove collision risk or a measured distance without suitable calibration. | Cannot prove fault, inevitable collision or injury avoidance. |
| Practical outcome | Focus review on mixed-traffic interactions. | Help safety teams examine the sequence around a narrowly avoided conflict. |
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
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EXPLORE WHAT’S POSSIBLE
What Can You Do With Vehicle-person proximity detection?
01 / 04 · VEHICLE-PERSON PROXIMITY DETECTION
Warehousing
Shelves hide approaching traffic.
Example event: A pedestrian and forklift appear close.
Operator response: Check sightlines and crossing behavior.
Practical value: Informs intersection review.
Discuss this capability
02 / 04 · VEHICLE-PERSON PROXIMITY DETECTION
Logistics
Staff work near stationary vehicles.
Example event: A close-interaction candidate appears.
Operator response: Confirm vehicle motion and task authorization.
Practical value: Distinguishes planned loading.
Discuss this capability
03 / 04 · VEHICLE-PERSON PROXIMITY DETECTION
Manufacturing
A barrier separates apparently close objects.
Example event: Image proximity crosses a threshold.
Operator response: Verify the barrier and camera geometry.
Practical value: Reduces perspective errors.
Discuss this capability
04 / 04 · VEHICLE-PERSON PROXIMITY DETECTION
Deployment review
Show the ground plane and approaches.
Visibility: Occlusion hides people beside vehicles.
Configuration: Validate geometry and supported tracking.
Privacy: Prefer event-focused review over identity tracking.
Human review: Check barriers, motion and task context.
Discuss this capability
Frequently asked questions
Vehicle-person proximity detection, Explained.
Flags a person and vehicle appearing within a defined separation criterion in the monitored view.
Is pixel distance a real distance?
No. Physical separation needs appropriate calibration.
Are stationary vehicles different?
Yes. Confirm the configured distinction and task context.
Can a barrier change interpretation?
Yes. Visually close objects may be physically separated.
Does it stop a forklift?
No automatic vehicle-control function is established.
Find your fit
What are you trying
to achieve?
Focus review on mixed-traffic interactions. For Warehouse safety leads, Traffic coordinators.
Workflow to discuss
Vehicle-person proximity detection + Review specific mixed-traffic moments.
