Accessibility statement

Developing a revolutionary breakthrough in road surveys

 

Gaist Solutions Ltd is an innovative company that specialises in consultancy and technology solutions for strategic and management of assets, public infrastructure and emergency services. Gaist have collected billions of surveying data including footways, carriageways, inventory and street furniture at a very high level of accuracy.

A Knowledge Transfer Partnership project between the University of York and Gaist Solutions Ltd has used computer vision techniques to revolutionise billions of Gaist's imagery into a very highly detailed map of highways, which has now been launched as one of Gaist's key products named HighwayView. HighwayView offers a convenient way to manage and understand highways from the scale where the entire road network is visible down to a scale where fine details on road surfaces can be inspected. After launching HighwayView, the way road condition inspection was done in the past has become more convenient and time-saving. HighwayView won two awards at the 2017 TechFest ceremony for the Best Technology Provider and the Best Use of Technology to Enabling Smart Infrastructure and has been highly commended for the 2018 CIHT / DfT Technology Award.

Developing a revolutionary breakthrough in road surveys with Gaist Solutions Ltd, KTP1

Results

Dr Stephen Remde, Director, Innovation and Research 

Gaist has always been ambitious and aims to maintain a leading position with the effective use of new technologies and innovation. The first KTP project between Gaist and the University of York has rapidly built Gaist's reputation in the prediction and modelling of long-term deterioration of infrastructure through the use of artificial intelligence, modelling and optimisation. With the outcome of the second KTP project, Gaist sees a huge potential to exploit the advanced knowledge of Computer Vision and Machine Learning to deliver more robust and cost-effective autonomous solutions in condition surveys on road surfaces, pavement and infrastructure as well as asset management.

Recently this year, Gaist secured £2.7 million of investment from BGF to further aid in its growth into other domestic markets and overseas, and to invest into its ground-breaking computer vision products. Gaist have established a new computer vision and machine learning research team and recruited more scientists and researchers to join the company. With our massive collection of surveying data together with the growing demand for large-scale data analysis, we aim to hold our position as the leading company for providing road intelligence data.

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KTP Team Contact details

Dr Rukmal Abeysekera
Knowledge Transfer Manager
Business Development team
The Stables, University of York
Tel: +44 (0)1904 321124
rukmal.abeysekera@york.ac.uk