<?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="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/479DE239-28B6-44C2-BF8B-F78175A85F2D" ns1:id="479DE239-28B6-44C2-BF8B-F78175A85F2D"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/DA35E2A8-44B0-4057-A1FC-7CA37DE8FBCC" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/72E7750F-E57E-4ED8-8E34-037A9245FECA" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/FB80462F-FC76-4BA4-8F5A-A6CE75A41DE3" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/72E7750F-E57E-4ED8-8E34-037A9245FECA" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/92AA8BD3-DC43-4AAE-B882-0ECD1B6C9B34" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/0328C364-78CA-4734-A002-5847B8B7472C" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2019-04-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/5D6F984A-79F8-48AD-B883-433D4F5DA143" ns1:rel="FUND" ns1:start="2018-02-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">103876</ns2:identifier></ns2:identifiers><ns2:title>Single Photon Range Imaging for Natural Gas Sensing SPRINGS</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Gas sensing is a growing market, with Oil &amp;amp; Gas leak detection alone expected to grow to $3.4Bn in 2022. Natural gas leaks cost companies $30Bn per year, the ability to detect these leaks is limited by the characteristics of existing technologies. The SPRINGS project sets out to develop a quantum-inspired laser radar (LIDAR) capable of detecting the lowest concentration of natural gas leaks required by the industry out to a 200 metres operational distance. This brings a 10-fold sensitivity improvement over our closest competitor and enables fast scanning and imaging. It is lightweight and low-power and unlocks new applications for Oil &amp;amp; Gas and waste management industries, and it delivers an unprecedented 30 miles per hour surveying speed. To ensure long-term leadership, we will also develop a quantum-enhanced prototype, taking us to mid-IR wavelengths, for a further 10-fold performance gain. This opens up the possibility for other gas species and unlocks applications such as Oil &amp;amp; Gas exploration and remote detection of explosives.</ns2:abstractText></ns2:project>