A University of Illinois team has developed predictive visual data analytics tools, called "Flying Superintendent" to automate and streamline today's time-consuming practices for construction progress monitoring. Their award-winning solution utilizes both images and videos taken with camera drones and four-dimensional Building Information Modeling (BIM) to quickly identify and visually communicate the actual and potential performance problems during execution of construction projects via smartphones and tablets to project participants, on and off site.