June 15, 2026 • Government Installation • London • Government

Public Transport Hub Video Analytics

James Chen
James Chen
Lead Project Engineer
Public Transport Hub Video Analytics

In this case study

Project Overview

The city transit authority required a comprehensive video analytics solution for the central transport hub serving 200,000 passengers daily. The existing system of 200 cameras relied on manual monitoring, with operators struggling to maintain situational awareness across the sprawling facility.

Our solution deployed AI-powered analytics across all existing and new cameras to provide automated crowd density monitoring, suspicious behaviour detection, unauthorised area access alerts, and operational analytics for service optimisation.

Key Challenges

The transport hub operated 20 hours daily, leaving only a four-hour window from midnight to 4am for installation work. The high passenger traffic meant safety was paramount during installation, with all work areas requiring protective barriers and safety marshals.

Integrating AI analytics with the existing VMS platform from a different manufacturer required custom API development. The system had to process 200 video streams simultaneously with real-time alerting - a significant computational challenge.

Products Used

Fifty additional Axis 4K cameras were installed to fill coverage gaps, bringing the total to 250. All camera feeds were processed by an AI analytics server running custom models for crowd counting, loitering detection, and unauthorised track access alerts.

The central monitoring room was upgraded with a 12-screen video wall and an intelligent alerting system that prioritises alarms by severity. The system integrates with the transit authority's existing public announcement system for automated crowd management messages.

Final Outcome

Crowd management incidents decreased by 60% as the AI system alerted operators to overcrowding before it became a safety issue. Three suspicious package incidents were identified and responded to within minutes. The system detected 12 instances of unauthorised track access, preventing potential safety incidents.

The operational analytics module has been particularly valuable, providing data on passenger flow patterns that have been used to optimise train scheduling and platform allocation. The transit authority estimates $2M annual operational savings from these insights.

Products Used

The following products were selected and installed for this project based on their reliability, performance, and suitability for the specific requirements of the site.

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