Visualization, Point Cloud Analysis, Data Management / Handling
Civil Maps allows users to upload their survey data, then specify the assets of interest and mapping specification. Upon upload, Civil Maps indexes all of the spatial information as defined in the mapping specification into a query-able format. The maps can then be dynamically generated on demand and exported to various tools such as AutoDesk Map3D from Civil Maps, which is useful for integrating into the customers workflow. The biggest pain point in the industry is the time to annotate 3D scans. Currently, processing huge 3D survey datasets is limited by the point and click annotation speed of the user and the limited resources of the users computer (I/O, CPU, Network, Memory).
By circumventing these bottlenecks, Civil Maps is introducing a paradigm shift in the workflow of annotating 3D survey data. Advancements in parallel computing and deep learning allows Civil Maps to reduce 2 years of manual annotation work down to 2 days of processing using our cloud infrastructure
deep learning, artificial intelligence, point cloud streaming protocol