Identity Intelligence Platform

The Identity Intelligence Platform for Live Video

A unified platform that processes live camera data in real time to deliver governed, identity-driven intelligence.

How the Platform Works

Applies AI/ML algorithms on live camera feeds using a custom Al Edge device to extract identity, movement, and event intelligence - Without manual video review or prior enrolment.

Persistent Visual Evidence Engine

Creates a continuous, identity-linked visual evidence trail for every individual - employee, visitor, or unknown - enabling fast investigation using time-based, behaviour-based, or image-based search.

Time & Identity-Based Evidence Search

Time & Identity-Based Evidence Search

Playback Without Raw Footage

Identity-Driven Investigation

FaceIntel allows teams to quickly determine who appeared, when, and under what conditions - without manually reviewing full video recordings.

Instead of searching footage camera by camera, the platform surfaces only relevant, identity-linked evidence and enables direct playback of the associated video segments.

Enables:

Persistent identities across cameras

Cross-location appearance correlation

Fast, identity-based search

Identity governance and access control

Identities evolve. History stays.

Identities evolve. History stays.

Identity Enrolment & Continuous Evolution

Facelntel treats identity as a continuously evolving entity. Initial enrolment establishes the identity, while accuracy and context improve automatically over time - without repeated re-registration.

Enables:

Fast enrolment via mobile or web

Automatic identity creation for unregistered visitors

Seamless visitor-to-employee conversion with full history preserved

Adaptive handling of appearance changes

See live. Decide faster. Act sooner.

See live. Decide faster. Act sooner.

Live Footfall Intelligence & Command Operations

FaceIntel provides a real-time command layer that unifies live video, footfall intelligence, and alerts into a single operational view respond proactively. enabling teams to assess situations instantly and respond proactively.

Enables:

Unified live camera visibility

Real-time crowd presence and flow insights

Proactive, threshold-based alerts

Operational footfall metrics for live and post-shift analysis

Why It’s Different

Operations are guided by live intelligence, not delayed reports or manual monitoring.

Governed Views. Trusted Intelligence

Governed Views. Trusted Intelligence

Governed Dashboards, Reporting & Integrations

FaceIntel delivers governed dashboards and reports that surface identity and operational intelligence - tailored by role and aligned with organizational controls.

Enables:

Role-based views

Workforce and attendance reporting

Productivity and operational insights

Enterprise system integrations

Why It Matters

Dashboards provide controlled intelligence, not uncontrolled data views.

Frequently Asked Questions

Get answers to common questions here

What is the Facelntel platform architecture?

FaceIntel consists of an edge Al layer, a core identity intelligence engine, and a centralized management & analytics layer, enabling real-time processing and historical search without requiring continuous raw video storage or cloud streaming.

How is Facelntel different from traditional VMS or video analytics?

Does Facelntel store or stream raw video to the cloud?

Can Facelntel scale across cities or large enterprises?

Is FaceIntel vendor-locked to specific hardware?

How does FaceIntel handle accuracy and false positives?

What is the Facelntel platform architecture?

FaceIntel consists of an edge Al layer, a core identity intelligence engine, and a centralized management & analytics layer, enabling real-time processing and historical search without requiring continuous raw video storage or cloud streaming.

How is Facelntel different from traditional VMS or video analytics?

Does Facelntel store or stream raw video to the cloud?

Can Facelntel scale across cities or large enterprises?

Is FaceIntel vendor-locked to specific hardware?

How does FaceIntel handle accuracy and false positives?

What is the Facelntel platform architecture?

FaceIntel consists of an edge Al layer, a core identity intelligence engine, and a centralized management & analytics layer, enabling real-time processing and historical search without requiring continuous raw video storage or cloud streaming.

How is Facelntel different from traditional VMS or video analytics?

Does Facelntel store or stream raw video to the cloud?

Can Facelntel scale across cities or large enterprises?

Is FaceIntel vendor-locked to specific hardware?

How does FaceIntel handle accuracy and false positives?