The University of Manchester and Cable Detection Limited
to
Knowledge Transfer Partnership
To develop, embed and exploit advances interfaces and virtual reality techniques to visualize and interpret sub surface structures and primary utilities in real time and at any geographical location using a hand-held cable locator device.
Intelligent Autonomous Digital Construction Machines
291,501
2015-04-01 to 2017-06-30
Collaborative R&D
The purpose of this collaborative project between JCB, MIRA and Leica Geosystems is to research future construction techniques involving a combination of automation, information technology and machine guidance. With expertise in their representative fields, the partners will look to enhance the efficiency of construction by optimising the generation, use and sharing of work-site data throughout the construction process. The novel technologies to be explored will realise measurable reductions in lead-times, fuel consumption and carbon impact whilst improving quality, work accuracy and improving job site safety.
The University of Manchester and Cable Detection Limited
2014-12-01 to 2017-08-31
Knowledge Transfer Partnership
To embed and exploit novel real-time digital signal processing platforms for optimisation of existing and innovative next-generation buried cable and pipeline detection equipment.
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