Advanced Base Infrastructure Analysis Leveraging AI

In fiscal year 2017 alone, the Air Force spent an estimated $2.9 billion on maintenance to existing facilities and property. Even a small base with just a few thousand personnel, such as McConnell Air Force Base, spends around $30M per year on construction and renovation. At each base, a small team of civil engineers faces the daunting task of prioritizing hundreds to thousands of buildings, roads, bridges, and other structures for maintenance and renovation projects with limited budget to cover everything at once. CrowdAI has proven commercial technology that can address these problems and enable AF civil engineers to be more effective. CrowdAI's solution uses an advanced technique, called image segmentation, that classifies every pixel in an image or video frame to identify and classify objects of interest. By analyzing airborne/satellite imagery automatically, this technology can provide automated condition reports for built infrastructure on AF bases faster and more accurately than status quo.