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Rail is where SIYTE was first developed and proven. Many of the same challenges, such as flooding, intrusion, and asset visibility, are now being addressed across highways and other critical infrastructure. Each year, flooding costs the UK rail network over £60 million, and trespass incidents more than £50 million in delay-related repayments.
By combining AI-powered video analytics with IoT sensor data, SIYTE transforms existing CCTV and infrastructure into an intelligent network that delivers predictive alerts, operational insight, and measurable ROI.
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Detect early signs of surface water, rising trackside levels or drain blockage - enabling operators to take preventative action, minimising costly delays and reducing infrastructure damage.
In Network Rail's Control Period 7, approximately £540m will be spent by Network Rail on upgrading drainage across over 500 sites. At Chipping Sodbury, Network Rail deployed SIYTE to provide “whole systems” insights which has already helped avoid an estimated 7,000 minutes of delays over a single winter.
SIYTE’s AI-driven monitoring enables asset and control teams to gain real-time visibility of drainage and water flow using predictive isnigths to provide and early warnings of blockages, rising water levels, or system failures. By turning scattered data into actionable intelligence, SIYTE empowers Network Rail to make faster, evidence-based decisions - enhancing reliability, safety, and operational efficiency.
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The safe and reliable operation of the railway depends on signalling, power, and telecoms systems housed within Relocatable Equipment Buildings (REBs). These assets are often geographically dispersed and exposed to risks such as extreme weather, equipment failure, theft, and criminal damage.
SIYTE delivers complete Situational and Environmental Awareness for REBs by detecting trespass or intrusion events, continuously monitoring environmental conditions, and integrating with internal systems.
A life is risked on the railway every 30 minutes. Trespass is not only a grave safety concern but also a major cause of disruption. One incident alone cost Network Rail £1.2 million in delay repayments. SIYTE is deployed to detect and respond to trespass incidents while crucially filtering out false alerts so that staff are empowered to act with confidence.
SIYTE identifies unauthorised access, loitering, or suspicious behaviour across both trackside and off-track areas providing real-time alerts, contextual insights, and triggering automated intervention actions. By turning data into awareness, SIYTE helps prevent incidents before they escalate.
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Beyond safety and infrastructure monitoring, SIYTE enhances operational efficiency, passenger experience, and compliance. It analyses people flow and crowding in stations, integrates with IoT sensors to track energy use, air quality, and facilities, and adjusts lighting automatically based on occupancy or conditions.
Weather monitoring supports proactive maintenance, while PPE compliance and level crossing audits improve workforce safety and reporting. SIYTE can detect anti-social behaviour or distress, enabling rapid response. By fusing vision, sound, and sensor data, SIYTE delivers unified, real-time awareness across the transport network.


