<?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/BB86BC00-CFEE-4AE9-A629-B9AF4DD8E1C2" ns1:id="BB86BC00-CFEE-4AE9-A629-B9AF4DD8E1C2"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/E337D95B-D5BA-4900-96BC-78EA46B2492F" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E046C509-09EE-4021-B2F8-15B8282ADBEF" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E046C509-09EE-4021-B2F8-15B8282ADBEF" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2021-05-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/5E5DE051-EB89-4939-8F60-FB21A29717FE" ns1:rel="FUND" ns1:start="2020-11-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">87078</ns2:identifier></ns2:identifiers><ns2:title>AI assisted quantitative visual inspection of 3D surfaces</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>The project adds 3D and multi-spectral imaging to smartphones so that they can be used for a wide range of test and monitoring purposes including QVI. The products delivered by the project are low-cost and can be used by anyone familiar with mobile phones.

The project supports sustainability and the circular economy during the period of COVID-19 restrictions by facilitating inspection and test in a wide range of industries, including construction, manufacturing and infrastructure.</ns2:abstractText></ns2:project>