Case Study

Transport for London

The project

  • Image Recognition and Incident Detection System (IRIDS)

The challenge

  • To provide accurate detection of congestion and incidents in typical London conditions. These included adverse weather (snow, rain and fog), variable lighting and wide-ranging traffic levels

Our solution

  • A system of pre-configured congestion templates which integrated into an umbrella of systems currently used by TfL

The benefits

  • Immediate improvement of response time in reacting to incidents and congestion
  • Measured reductions in average journey times in areas where IRIDS was deployed
  • Identification and resolution of previously unknown traffic congestion issues
  Project delivered in collaboration with TfL>>


IFSEC, London 2018


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