Evaluate plain-language search with explicit criteria

Natural-language video search was not verified in the portal; its camera conversation endpoint currently uses fixture responses. Any implementation must show interpreted criteria, supported data sources and reviewable results rather than implying that every question can be answered.

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

Assess natural-language search
Original camera view
Illustrative search request with explicit interpreted filters
Example
Without IVISIONStandard CCTV feed
With IVISIONIllustrative event overlay

The Process

How It Works

A fluent request is not proof of a supported query Keep search interpretation visible and testable.

01

Prepare the view

Define the permitted question and relevant sources.

02

Assess the observation

Review the interpreted filters before execution.

03

Review the evidence

Inspect candidate results and their source evidence.

04

Choose a response

Refine the query or use explicit filters when interpretation is uncertain.

Explore Your Options

Explore Related Capabilities

DimensionNatural-language video searchSearch by location, camera, date or time
ObservationA user’s authorized request mapped to available searchable fields or visual classes.An operator selects available event metadata rather than triggering new detection.
Event criteriaA verified search service translates and executes supported criteria.Apply permitted camera, location and time criteria to an accessible event collection.
Monitoring setupConfirm vocabulary, time scope, permissions and unsupported-query handling.Use correct time zones, camera labels and permissions; widen uncertain intervals deliberately.
What it cannot establishCannot infer intent, recover unseen events or guarantee semantic understanding.Metadata filters do not search the visual contents of arbitrary recordings or prove an event did not occur.
Practical outcomeHelp reviewers express a search question while checking how it is interpreted.Begin an investigation with a manageable, explicitly defined set of records.

Explore Search by location, camera, date or time? 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 Natural-language video search?

01 / 04 · NATURAL-LANGUAGE VIDEO SEARCH

Logistics

A request uses ambiguous route names.

Example event: The proposed query maps to the wrong area.

Operator response: Correct the area filter.

Practical value: Prevents scope errors.

Discuss this capability

Frequently asked questions

Natural-language video search, Explained.

A proposed search workflow that turns a plain-language request into supported video or event criteria.

Is the current camera chat a verified search engine?

No. The inspected endpoint returns fixture responses.

Can any request be searched?

Only supported fields or classes with available data.

Should results be accepted as facts?

No. Review original evidence and query scope.

What is the fallback?

Use explicit camera, date, type or other supported filters.

Find your fit

What are you trying
to achieve?

Help reviewers express a search question while checking how it is interpreted. For Authorized investigators, Operations reviewers.

Select your priorities

Workflow to discuss

Natural-language video search + Expose interpreted criteria.
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.