Smart Stations

One operational picture / AI detection & automatic alerts

Updated

Overview

Monitor assets, passenger flow, queues, trespass, vulnerable people and even anti-social behaviour through an AI driven combination of CCTV and IoT analytics.

The challenge

Despite most stations having full CCTV coverage, there is very little proactive monitoring of this CCTV, with it primarily used for evidence only. Add to that systems are generally disconnected, there is little visibility of passenger flow, trespass and crowding – especially in stations with few or no staff.

The solution

What your team sees with SIYTE

The Very Intelligent Railway
Smart Stations: Large
Platform 2 · Crowd Monitoring
LIVE
Crowding: Medium
SIYTE AI
Analyse the platform crowding patterns. When are my busiest and quietest periods?
Based on the past week's data from your platform monitoring, here are the key crowding patterns:Peak Times & Daily Rhythm
  • Busiest: peak crowding around midday (11am–1pm)
  • Dwell times are longest in the morning rush
  • Quietest: overnight and early morning
Weekly Pattern
  • Platforms generally fill from early morning through midday
  • Steady decline through the afternoon and evening
  • Minimal activity overnight
Key insight: plan staffing and announcements around the midday peak.
Ask a follow-up question…
Platform Occupancy46peopleNow
Queue at Gateline3minNow
Air QualityGoodConcourse

Capabilities

Intelligence to action

  1. Station as a Sensor Network

    Integrate CCTV analytics & IoT sensors into a unified system to understand passenger flow, safety and asset operations.

  2. Passenger and Staff Safety

    Harness advances in CCTV analytics to protect passengers and staff from harm, especially trespass, anti-social behaviour and violence against women and girls.

  3. Co-ordinated Appropriate Action

    Workflow to automate announcements and/or alert staff where intervention is required.

Smart Stations: what SIYTE monitors
  • Case Study
  • Rail

The solution

How SIYTE supports station teams

SIYTE uses CCTV and sensor analytics to deliver intelligence on: station operations; passenger and staff safety; and station security. SIYTE AI enables staff to query patterns, trends and anomalies, using an AI-driven conversational interface.

What it detects

  • Passenger flow, crowding and queue analysis
  • Platform crowding and track trespass
  • Anti-social behaviour & violence against women and girls
  • Station asset condition monitoring

Further reading: Anti-Social Behaviour in Public Spaces: A Smarter Approach.

The impact

  • Reduction in bike theft72%*

    At a major railway station, within three months of deploying SIYTE, leading to 13 proven convictions.

FAQ

Frequently asked questions

No. SIYTE works with existing infrastructure and integrates with station systems such as Telent's MICA, so alerts arrive in the tools your control room already uses.

No. SIYTE will work with the infrastructure you already have. If you have smart cameras, we will use these capabilities. If you do not, we can deploy hardware to process these camera feeds and make them smart.

Built for
Station managers, station operations and control room teams
Industry
Rail

Keep exploring

Related reading

See it in the field

Let's talk

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