3D scanning and SLAM LiDAR technologies are evolving quickly, with new systems entering the market every year. While many solutions promise fast reality capture and digital twin workflows, the real challenge is understanding which tools deliver reliable and repeatable results, and where they fit best in real-world projects.

In this webinar, we’ll explore practical 3D scanning workflows using the Tersus MVP S1 and MVP S2 RTK SLAM LiDAR scanners. We'll discuss how different scanning systems are designed for different types of environments, what separates lightweight handheld scanners from higher-performance mobile platforms, and how to determine the right tool for the job.

The MVP S1 is a compact handheld SLAM scanner built for rapid reality capture in tight or complex environments, combining LiDAR, RTK positioning, and panoramic imaging in a lightweight system. The MVP S2 is designed for larger mapping projects and can operate handheld or in backpack mode, delivering higher-density point clouds and extended coverage. Both systems are powered by Tersus’ proprietary SLAM algorithms, engineered for stability, residual control, and clean geometry. In a market where many scanners use similar hardware components, the performance of the SLAM engine is often what determines the quality and reliability of the final point cloud. Tersus’s solutions provide clean data without fuzzy guesswork, with minimal drift, and no costly budget-depleting processing fees.

Using real datasets from field projects, we’ll walk through how SLAM scanners can be used to quickly capture complex environments, generate accurate point clouds, and support downstream workflows for surveying, engineering, and infrastructure documentation.