<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/04AF94E3-67DD-4761-8431-37C215324B01" ns1:id="04AF94E3-67DD-4761-8431-37C215324B01"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/C3F2C577-896E-46C8-8CDD-A8CF42A238EB" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/68270845-A0E9-479F-BAA6-1D62E26C4B9C" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/68270845-A0E9-479F-BAA6-1D62E26C4B9C" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2022-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/DF070E60-3DD6-4E50-937A-8E740CABBEC8" ns1:rel="FUND" ns1:start="2020-04-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">971723</ns2:identifier></ns2:identifiers><ns2:title>Station Trespass Reduction System (Station TREDS)</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Small Business Research Initiative</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Station Trespass Reduction System (Station TREDS)

The Station TREDS product will provide a scalable and cost-efficient, real-time station trespass deterrence, detection, alerting, data collection and reporting solution for use across the rail network, enabling station asset owners and operators to respond more proactively to trespass-related risks, incidents and events in real time through automatic visual sensing and alerting integrated with station command &amp;amp; control practices and station asset management systems.

Sensing Feeling delivers advanced human behaviour IoT sensing products powered by Computer Vision and Machine Learning. The company's products incorporate patent-pending sensing capability that performs automatic visual observation and analysis of human physical behaviours that can be used to reliably predict, deter and detect high-risk situations relating to individuals or groups of people in real world conditions within safety-critical environments, entirely passively, in real-time, and at scale.</ns2:abstractText></ns2:project>