Search visible attributes without identity assumptions

Define objective supported attributes and a narrow search scope. Clothing color can be useful for locating candidates, but it is shared by many people and can change across views; do not use appearance to infer protected identity or intent.

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

Assess appearance-search criteria

Illustrative objective appearance filters with unconfirmed candidates

Example

Without IVISIONStandard CCTV feed

With IVISIONIllustrative event overlay

The Process

How It Works

Appearance changes with light, angle and context Reduce the candidate set while preserving uncertainty.

Prepare the view

Choose relevant non-sensitive visible criteria.

Assess the observation

Validate attribute recognition under source lighting.

Review the evidence

Review candidates with original images and context.

Choose a response

Use independent evidence before linking a candidate to a person or event.

Explore Your Options

Explore Related Capabilities

Dimension	Search by clothing color or appearance	Reference-image search for people, vehicles and objects
Observation	Observations matching selected visible attribute labels.	Indexed observations visually similar to an approved reference.
Event criteria	A verified attribute index returns candidate records.	A verified retrieval model returns candidates for a supported class.
Monitoring setup	Confirm supported colors/classes, lighting limits and time scope.	Confirm image provenance, object class, cameras and time range.
What it cannot establish	Cannot establish identity, ethnicity, religion, character or intent.	Cannot prove identity, ownership or unseen presence from similarity.
Practical outcome	Help reviewers narrow candidate observations without inferring personal identity.	Help reviewers locate visually similar candidates without treating similarity as identity.