The T2D2 facade inspection artificial intelligence software system has been trained on many types of structures and it is now finding a use case in historic preservation.
Rather than chase the latest tech fad, construction technology practitioners are already deep into using machine learning and artificial intelligence-driven algorithms in their work—from building inspection to picking the right concrete mix.
Artificial intelligence-enhanced analytics are turning up in almost every aspect of construction, with major inroads in project planning and safety. But what if the recommendations from an AI came from your existing jobsite cameras?
Whether delivering plants for batteries or other components or infrastructure components, mandates for electric vehicle adoption are pushing clients to meet deadlines and ask for more of engineers and contractors.
If contractors knew the best way to capture site data for each kind of job, whether it was using laser scans, drones or their own smartphones, it would certainly solve some problems up front.
One goal of the research is to identify optimum design patterns from native materials that can be used for 3D-printed horizontal construction at remote sites.
With demand for construction equipment running high amidst a busy few years of construction, the hunger for new machines was visible at the triennial CONEXPO-CON/AGG trade show, held March 14-18 in Las Vegas.