How TBC Leverages AI to Reduce Errors & Add Value to Point Cloud Data

via Trimble Geospatial

“Point cloud classification will be very useful for feature extraction. Great job so far. We really like it.”
- Alex Garcia, National Manager, Mobile Solution, GeoVerra

Rapid advances in artificial intelligence (AI) capabilities provide numerous advantages for surveyors as they integrate and streamline data management in a data-abundant ecosystem. By training machines to do time-consuming, repetitive activities, such as point cloud classification and feature extraction, humans have more time available to complete the most valuable components of the workflow.

Adding Value to Data

In the modern world, accurate raw data is not enough. The objective is to combine and transform the collected data into information that supports confident decision-making. In Trimble® Business Center (TBC) office software, AI is being used to mimic human cognitive functions with a goal of high-quality replacement, meaning that the result produced by AI-powered tools is expected to be as close as possible to the quality of human intelligence.

With the help of AI, TBC removes redundant manual interaction from the workflows and allows surveyors to concentrate on the tasks most suitable for higher-level thinking and problem-solving. The productivity gains provided by AI-powered tools are accessible to everyone without requiring AI expertise. Surveyor expertise becomes even more critical as it is applied primarily to the complex, high-value portions of the workflow.

TBC is designed to work with all types of sensors and to manage any type of data—whether it is from a drone, a terrestrial scanner or a mobile mapping system—which results in a centralized database of information to support reliable and robust deliverables.

Read the full article on the Trimble Geospatial blog