📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Deep Learning for Engineering Inspection

Lead Participant: BLOC DIGITAL LTD

Abstract

This project will create the **Deep Learning for Engineering Inspection** (**DL4EI)** application, simplifying inspections and creation of HGV 3D digital twins at vehicle and fleet levels to transform the ability to extract critical insight from the data.

**DL4EI** will:

* enable mobile device users to easily gather accurate Inspection data and apply deep learning to create accurate digital twins of each vehicle.
* convert data into insights, enabling optimised vehicle maintenance programs to be developed, saving up to 20% on the unscheduled repair program for a haulier.
* enable organisations to anticipate and avoid the impact of degradation thus reducing operational disruption through improved inspection planning and scheduling repair within existing service schedules.

Lead Participant

Project Cost

Grant Offer

BLOC DIGITAL LTD £33,974 £ 33,974
 

Participant

UNIVERSITY OF DERBY £15,965 £ 15,965

Publications

10 25 50