In a project for the Defense Department’s Defense Innovation Unit (DIU), computer scientists have turned to artificial intelligence and aerial imagery to construct a detailed damage assessment solution. The tool can be used remotely and automatically to determine the amount of damage to buildings and structures from a natural disaster or catastrophe. The prototype, known as the xView II model, was tested this fall, with the goal of rolling out a more finalized operational version next year.
JAB Innovative Solutions LLC, Bristow, Virginia, has been awarded an $8,849,120 firm-fixed-price and time and material contract for Defense Innovative Unit (DIU) scientific and technical consulting support services.
The U.S. Department of Defense, through its emerging technology arm, Defense Innovation Unit, known as DIU, is conducting an artificial intelligence challenge to lighten the load of analysts pouring through satellite and aerial imagery to conduct damage assessments after natural disasters.
The new competition, known as the DIU xView2 Challenge, is the organization’s second prize challenge focusing on advancing computer vision for humanitarian assistance and disaster relief, DIU reported. It follows the xView1 Challenge, held earlier this year to advance machine learning capabilities that could identify objects on the ground useful to first responders.