<?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="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/50501AF6-A962-4659-BA33-EAE27A2DDE39" ns1:id="50501AF6-A962-4659-BA33-EAE27A2DDE39"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/BA408FCC-EAB5-42B3-8826-24D2D0D27AE6" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/101B600B-91ED-4570-A530-3186FA45086B" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/101B600B-91ED-4570-A530-3186FA45086B" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2020-12-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/7DA03808-9F1C-448E-B1FA-DF4581C8CC32" ns1:rel="FUND" ns1:start="2020-09-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">82596</ns2:identifier></ns2:identifiers><ns2:title>SmartLight.ai - Bringing AIoT to the Street Lighting Industry</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Small Business Research Initiative</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>SmartLight.ai will revolutionise the efficiency of urban lighting using Embedded Artificial Intelligence, combining the benefits of two emerging &amp;quot;megatrends&amp;quot; Artificial Intelligence (AI) and the Internet of Things (IoT), to create the Artificial Intelligence of Things (AIoT). AIoT lighting will address five urban challenges; Energy Efficiency, Running Cost, Safety, Light Pollution, and Maintaining Nightlife. In terms of Energy Efficiency, global outdoor lighting consumes 1.3 quadrillion Btu annually, costing about US$10B. Labour-intensive Central Management Systems, with current IoT technology, such as Engie's inteliLight, claim a 35% energy saving with binary central switching, or 500M Tons CO2 (1.5%), or 105M cars if applied globally. These systems are only available to coordinated, high-income areas. SmartLight.ai's AIoT platform could deliver greater savings, with less overhead. SmartLight.ai will help businesses and communities recover from the coronavirus pandemic in a sustainable manner, as part of a clean growth and transition to net zero.</ns2:abstractText></ns2:project>