Transconomy and Kimley-Horn recently joined forces to create a traffic sign inventory and sign condition database for the City of Lone Tree, Colorado. Staff at Kimley-Horn collected about 100 lane-miles of the street imagery using a Go-Pro camera with instructions provided by Transconomy team to ensure quality and consistency for data collection. Nearly 50,000 Images were then uploaded to the Transconomy Hub, where the Transconomy AI algorithm was executed. These raw images were automatically processed to identify assets, remove duplicate assets in consecutive images, and geo-tag asset locations on a map. The software also provides the GIS-based asset inventory in Shapefiles (SHP) for use in Esri applications and Keyhole Markup Language (KML) files for use in Google applications.