Description

GDOT’s CLIP is a CAD to GIS initiative that looks to capture road characteristics from CAD files and add them to GIS. The solution leverages digital twins, AI, and traversal algorithms (CLIP CAR). The CLIP application will traverse a road and interpret the linework in the CAD file. And, it will transform element heavy CAD designs to a streamlined GIS representation with simplified road geometry. Further, lane counts, widths, shoulder locations and more are captured and associated with the transformed GIS roads. Instead of a manual inventory, GDOT can now process any project in a few minutes. Building upon the CLIP effort, the team has developed new CAD to GIS workflows. The Phorz Query workflow makes building common searches easy. Quickly create searches for telecomm, drainage, signs, or any design feature – a one time effort. Then apply these searches to any project that follows the same design standard. Data, such as item types are also captured. In fact users of the program can apply any data schema to associate with captured graphic elements. In this session learn about our work on GDOT’s CLIP project, and see how easy it is to build searches using the new workflows we have developed. The session will also introduce a new application for extracting data from PDF. Leveraging the latest in LLM AI, the team has built an application that can quickly extract and tabulate data found in image files like PDFs.