Intellias
252 Case Studies
A Intellias Case Study
The customer, an advisor and provider of artificial intelligence technologies, faced the challenge of classifying and labeling nearly 150 million 3D points from Lidar data to distinguish objects like cars and roads for geospatial AI services. They sought assistance from Intellias to build intelligent point cloud processing software from scratch that could also enable web-based rendering of the resulting 3D terrain models.
Intellias delivered a full-cycle solution, developing scalable software on Microsoft Azure that processes massive datasets with remarkable speed and near-millimeter accuracy. The resulting product, praised for its user-friendly interface, allows for the rapid classification of objects and web-based rendering of 3D models, providing measurable impact for use cases in city planning and construction by saving significant time and money on projects.
An Advisor and Provider of Artificial Intelligence Technologies