Just in Time

Case Study · Aviation · Digital Twin · AI Video Analytics

An enterprise digital twin for faster airport operations, security, and passenger-flow decisions

JIT developed an operational digital-twin environment for airport premises, combining a precise 3D model, real-time operator dashboards, video analytics, biometric access capabilities, flight data, and occupancy monitoring.

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Client: Dubai Airports

Project at a glance

Client
Dubai Airports
Industry
Aviation · Transport Infrastructure · Security
Solution
Enterprise digital twin and operational-control platform
Users
Security, operations, maintenance, facility managers
AI
Face and body recognition, crowd monitoring, intrusion detection, flight analytics

Challenge

Airport operations require a shared, real-time view of people, flights, spaces, and events

  • Create a precise digital representation of airport premises.
  • Give security, operations, and maintenance teams role-specific dashboards.
  • Combine video analytics with spatial and operational data.
  • Analyse passenger movement and crowd density by zone.
  • Detect security or operational anomalies in near real time.

Solution

A 3D operational environment for monitoring and decision support

JIT developed an enterprise digital twin that represents airport spaces and infrastructure, connecting video, flight operations, access systems, and operational sources.

3D airport model

Digital representation of terminal spaces, operational zones, access areas, and infrastructure.

Operational dashboards

Role-specific views for security, operations, and maintenance teams.

Video analytics layer

AI analysis of camera streams for events, movement, occupancy, and security conditions.

Flight and passenger-flow analytics

Punctuality, delay patterns, and passenger concentration by flight, zone, camera, and time.

AI contribution

Video analytics that turns camera feeds into operational data

Rather than requiring operators to continuously observe large volumes of video, the system identifies configured conditions and surfaces events inside the digital twin. Face recognition, biometric access, and body-attribute analysis are configurable components available where legally authorised.

Zone and camera occupancy

Counts people in a defined zone or camera field of view. Supports crowd monitoring, queue management, and safety controls.

Intrusion detection

Detects access to restricted areas or configured perimeter events. Supports faster security response.

Passenger distribution by zone

Measures passenger presence and movement across airport areas. Helps teams identify congestion and flow imbalances.

Flight analytics

Tracks punctuality, delayed flights, and selected performance indicators. Supports operational reporting and situational awareness.

The digital twin maps detected information to the relevant airport location so authorised teams can investigate and respond from a shared 3D environment.

Workflow

From camera event to operational response

  1. 01Airport data sources send video, flight status, access events, and spatial data to the platform.
  2. 02AI video analytics processes camera feeds for configured objects, people counts, and security events.
  3. 03The digital twin maps detected information to the relevant location, zone, camera, or process.
  4. 04Operators view events through role-specific dashboards.
  5. 05The system highlights priority conditions such as overcrowding or unauthorised access.
  6. 06Authorised teams investigate and respond using connected video context and established procedures.

Results

A shared operational view for complex airport environments

  • Created a precise 3D digital representation of airport premises for operational use.
  • Integrated operational, spatial, video, and flight-related information into one environment.
  • Enabled security, operations, and maintenance teams to work from a shared situational view.
  • Introduced AI video analytics for crowd monitoring, occupancy analysis, and intrusion detection.

Enterprise Digital Twin · 3D Visualisation · AI Video Analytics · Computer Vision · Flight Data Integration · Crowd Analytics · Operational Dashboards

JIT contribution: Digital-twin architecture, 3D model integration, operational dashboard design, video analytics, AI detection workflows, flight and operational data integration, event-monitoring logic, reporting, security architecture, and deployment.

Need AI vision and a real-time view of a complex facility?

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