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01Camera input
Capture the truck and surrounding people together.
Separate the operating position from the surrounding people
Assess whether a person appears in the operating position or outside it. People can enter, leave or work beside a truck, so review transitions before assigning a role to an event.
Catalog workflow. Detector availability, scene suitability and event delivery must be verified for the proposed deployment. Camera observations supplement human review and established safety procedures.
Discuss this workflow
Example
Without IVISIONStandard CCTV feed
With IVISIONIllustrative event overlayThe Process
How It Works
A visual role is a provisional relationship Give interaction review a clearer person–truck relationship.
01
02Visual criteria
Validate operator-position and pedestrian associations.
03Event review
Review transitions and ambiguous positions.
04Operator response
Supervisor confirms the role relevant to the specific event.
Explore Your Options
Explore Related Capabilities
| Dimension |  Driver and Non-Driver Classification |  Forklift Driver Detection |
|---|---|---|
| Observation |  A person appears in or outside a defined operating-position region. | A person is visible in the assessed forklift operating position. |
| Event criteria | A validated spatial association supports a tentative role label. | A validated person-position relationship is observed. |
| Monitoring setup | Confirm truck geometry, transitions and unknown handling. | Confirm truck design, operating region and visibility criteria. |
| What it cannot establish | A visual role does not establish employment, permission or who drove earlier. | Presence cannot establish identity, training or actual control state. |
| Practical outcome | Help reviewers distinguish an apparent operator from nearby pedestrians while preserving uncertainty. | Help teams check operator-presence context without inferring identity, qualification or control of the truck. |
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.
EXPLORE WHAT’S POSSIBLE
What Can You Do With Driver and Non-Driver Classification?
01 / 04 · DRIVER AND NON-DRIVER CLASSIFICATION
Warehousing
People swap operating positions.
Example event: One person leaves while another approaches.
Operator response: Reviewer checks the sequence.
Practical value: Better transition context.
Discuss this capability
02 / 04 · DRIVER AND NON-DRIVER CLASSIFICATION
Manufacturing
A worker assists beside the truck.
Example event: A person remains outside the operating position.
Operator response: Team treats the role as provisional.
Practical value: Clearer interaction analysis.
Discuss this capability
03 / 04 · DRIVER AND NON-DRIVER CLASSIFICATION
Logistics
Cabin occlusion hides the operator.
Example event: A nearby person is visible but the operator is not.
Operator response: Supervisor avoids assigning the wrong role.
Practical value: Fewer mistaken associations.
Discuss this capability
04 / 04 · DRIVER AND NON-DRIVER CLASSIFICATION
Deployment review
Show the operating position and nearby floor area.
Visibility: Occlusion can place people in misleading image positions.
Configuration: Validate associations and role transitions for local truck types.
Privacy: Do not infer protected traits, job status or personal identity.
Human review: Confirm the role at the event time before conclusions.
Discuss this capability
Frequently asked questions
Driver and Non-Driver Classification, Explained.
Assigns tentative operational roles from a person’s visible spatial relationship to a forklift.
Does this classify a person’s occupation?
No. It is a temporary spatial role in a specific scene.
Can the same person change labels?
Yes. Entering or leaving the operating position changes context.
What if the driver is hidden?
Keep the role uncertain rather than assigning it to a nearby person.
Does a role label prove responsibility?
No. Investigation needs broader evidence.
Find your fit
What are you trying
to achieve?
Help reviewers distinguish an apparent operator from nearby pedestrians while preserving uncertainty. For Warehouse safety analysts, Materials-handling supervisors.
Workflow to discuss
Driver and Non-Driver Classification + Use spatial relationships instead of assumed identity.
