Separate known-profile matches from unresolved observations

Define the reference population and acceptance criteria before interpreting a known or unknown label. An unresolved observation may reflect missing enrollment or poor visibility, so the next step should be verification or assistance.

Catalog workflow. Confirm detector availability, permitted use and event delivery for the proposed deployment. Website examples are illustrative.

Define known-profile classification
Original camera view
Illustrative observation awaiting known-profile classification
Example
Without IVISIONStandard CCTV feed
With IVISIONIllustrative event overlay

The Process

How It Works

Unknown is a matching state Route matching exceptions consistently.

01

Prepare the view

Approve the known-profile population.

02

Assess the observation

Validate matching and ambiguous-result handling.

03

Review the evidence

Review the classification with image quality and source context.

04

Choose a response

Use a credential or visitor process to resolve uncertainty.

Explore Your Options

Explore Related Capabilities

DimensionKnown-person and unknown-person classificationStranger / Unknown Person Alert
ObservationA face observation with or without an accepted profile association.An observation without a confirmed known profile.
Event criteriaA supported matcher applies validated acceptance criteria.The available matcher returns no acceptable association.
Monitoring setupConfirm profile population, threshold and ambiguous-match handling.Confirm known population, threshold and duplicate policy.
What it cannot establishCannot establish legitimacy, threat or whether someone has visited previously.Cannot prove danger or that someone has never visited.
Practical outcomeMake matching state explicit without judging the person.Resolve unfamiliar arrivals through a defined reception process.

Explore Stranger / Unknown Person Alert? Learn more

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

EXPLORE WHAT’S POSSIBLE

What Can You Do With Known-person and unknown-person classification?

01 / 04 · KNOWN-PERSON AND UNKNOWN-PERSON CLASSIFICATION

Offices

New staff are not enrolled yet.

Example event: An observation is classified unknown.

Operator response: Check onboarding and credentials.

Practical value: Finds enrollment gaps.

Discuss this capability

Frequently asked questions

Known-person and unknown-person classification, Explained.

Classifies an observation as associated or unassociated with a defined known-profile set.

Does known mean authorized?

No. Recognition and permission are different.

Does unknown mean a first visit?

No. It only indicates no accepted association.

Can several profiles match?

Potential ambiguity must be handled and reviewed.

Should unknown results be deleted immediately?

Apply the justified retention policy and relevant requirements.

Find your fit

What are you trying
to achieve?

Make matching state explicit without judging the person. For Reception operators, Identity workflow owners.

Select your priorities

Workflow to discuss

Known-person and unknown-person classification + Define the reference population.
Discuss This Workflow

Selected demonstration event

Illustrative product demonstration. Detections, names and events are simulated.

Ready to see what IVISION can
do for your environment?

Discuss a camera view, a monitoring question and the review process your team needs.