Stonex has launched a new SLAM solution for fast and efficient large-area surveys: the X70GO SLAM laser scanner. It combines mobile scanning with a stationary mode to scan with higher resolution, enhancing its overall surveying capabilities.
With the brand-new mapping solution, Stonex extends its array of reality-capturing instruments to a more diverse user base. X70GO is a real-time 3D model reconstruction device which integrates an inertial navigation module, high-performance computer and storage system. It is equipped with a 360° rotating head, which, combined with the SLAM algorithm, generates high-precision point cloud data. The built-in 512GB memory disk facilitates the storage of the survey results and the dismountable handle has a 1.5-hour battery life.
A 12MP RGB camera provides texture information, while a visual camera enhances the real-time preview with the GOapp. Mapping results are generated immediately inside the scanner, right after scanning. Users can choose to colour them and improve their accuracy during post-processing with GOpost software.
The system’s big innovation is the hybrid scanning capability. The X-Whizz mode combines the advantages of SLAM mode with the resolution of a static scan, eliminating the need for multiple scan stations. Users can just move around the scene to collect the entire 3D point cloud, without time-consuming cloud-to-cloud alignment.
Challenging and demanding environments
The technology incorporated in the new scanner encompasses extended range, a higher number of points per second, and advanced onboard processing algorithms. This combination achieves an unparalleled speed of capture and reliability, making the X70GO SLAM laser scanner particularly well-suited for use in challenging and demanding environments. It can be utilized across a wide range of applications, including BIM, industrial sites, real estate, heritage preservation, tunnels and mining, to name but a few.
An additional option is the possibility of adding an RTK module to set a point cloud in a global coordinate system. This can support the addition of GNSS information to Lidar and IMU in the SLAM algorithm. Moreover, in situations with limited GPS connectivity – such as indoors or challenging environments – the system will rely on Lidar and IMU for positioning purposes.
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