DIGITAL CONSTRUCTION
“ We access both the imagery data they have as well as the structured data -project location , workforce on site , the observations being made - all of which feeds into our own predictive models for safety risk and outcomes . Just like Oracle is working on predictive models for schedule risk , we ' ve built analytics models for safety risk allied with our own proprietary visual AI to be able to predict the outcomes .”
Kanner points out that with three people dying every day on US construction sites , and the fatality rate unchanged for a decade , there ’ s a pressing need for the industry to step up and embrace the innovation that can reduce risk .
Future proofing construction Kanner is excited by the potential for the various disciplines that make up ML - including Computer Vision , Predictive Analytics and NLP - to fully develop as senses that can mitigate that risk by using algorithms to understand trends and predict future outcomes . “ Looking ahead , there ’ s a natural tie in with visual AI into the world of AR . The latest version of the HoloLens feature onboard chips so the capability is now there for AR to be powered by AI to highlight specific objects or areas of interest – everything from safety checks to work completion on site .”
We are in a golden age for construction innovation . Foundational technologies , like ML , AI and AR , are advancing rapidly . Aligned to the development of cloud capabilities , the reduction in data storage costs and connectivity coming of age with the improved latency of 5G , the building blocks of a revolution for construction are in place . constructionglobal . com 75