GOSLAMVS120 3D Scanner for Geological Survey

Product Advantages

Advanced Technology: Utilizes SLAM technology, i.e., real-time localization and mapping technology, which does not rely on GNSS positioning such as GPS. It enables self-localization and incremental 3D mapping in unknown environments, both indoors and outdoors.
Efficient and Convenient: Fast scanning speed, up to 320,000 points/second, allowing rapid acquisition of 3D information of objects. Additionally, the device is easy to operate with one-touch functionality, enabling operation without the need for specialized personnel.
High Precision: Point accuracy up to 1cm, meeting the demands of most industrial production applications.
High Flexibility: Can be installed in various ways, including handheld, backpack, drone, and vehicle/boat mounting, making it suitable for different work scenarios.
High Protection Rating: The housing is made of aerospace-grade aluminum, offering high protection and strong anti-interference characteristics. It operates in environments ranging from -35°C to 60°C.
Real-time Preview: Equipped with an HD touchscreen for real-time preview of scanning results, allowing users to adjust scanning strategies promptly.

This 3D scanning device is suitable for various fields such as surveying and mapping, agriculture and forestry, geology, and more.





The GOSLAM mobile measurement system employs SLAM technology, i.e., real-time localization and mapping technology, which does not rely on GNSS positioning such as GPS. While moving in unknown environments, both indoors and outdoors, it performs self-localization and incremental 3D mapping. GOSLAM is committed to providing user-centric 3D laser mobile scanning measurement system product solutions, delivering an enhanced operational experience.



Scanning Distance: 120m.
Operating Status: LED status screen.
Scanning Speed: 320,000 points/second.
Built-in SSD: 500GB expandable.
Point Accuracy: 1cm.
Operating Temperature: -35°C to 60°C.
Scanning Range: 360°×90°.
Weight: 0.9KG (handheld unit).
Number of Laser Lines: 16 lines.
Laser Class: Class 1 eye-safe.
Number of Laser Heads: 1.
Product Housing: Aerospace-grade aluminum (high protection, high anti-interference).
Processing Method: Real-time processing.
Scanning Localization: SLAM technology (no GPS required).
Real-time Preview: HD touchscreen.
Operating Time: 2.5 hours.
Multi-platform Mounting: Handheld, backpack, drone, and vehicle/boat mounting kits.

The device features a high protection rating, with a high level of dust and water resistance in its housing protection standards. It is robust, durable, and highly reliable, operating in environments from -35°C to 60°C, adapting to various conditions. It also utilizes a dual-battery system; using the standard VS series battery inserted into the battery slot provides power, with an operating time of 4 hours. The dual-battery uninterrupted redundancy design supports hot-swappable battery replacement and incorporates the patented technology ZL 2022 2 0611635.5.

The GOSLAM-VS120 main unit has significant performance improvements, creating a new generation of portable and high-performance main units with comprehensive optimization and enhanced capabilities. During outdoor data collection for stockpile surveying, scanning can begin immediately upon startup for field collection. Its horizontal scanning head, with a scanning frequency of 320,000 points/second, allows for faster movement speeds during data acquisition. Each stockpile inventory scan can be completed within ten minutes, greatly improving collection efficiency. The scanning process is convenient and can be flexibly adjusted according to the on-site environment. One-touch operation enables tasks to be performed without specialized personnel.

Additionally, the device comes with the post-processing software GoSLAM Studio, a feature-rich and user-friendly point cloud post-processing software. It supports the import and export of various point cloud formats and enables a range of functions, including point cloud data reduction, denoising, stitching, cross-section cutting, and mesh model generation.