Request a quote


CHCNAV RS30 SLAM System – Handheld 3D Laser Scanner

The CHCNAV RS30 combines a 32-line LiDAR scanner, GNSS RTK positioning, and visual SLAM technology into a single powerful 3D surveying solution. The RS30 enables accurate and rapid point cloud data collection both indoors and outdoors, without the limitations of traditional surveying equipment.

Survey quickly – even in challenging locations

With the RS30, dense 3D point clouds can be collected while moving freely through the environment being surveyed. The combination of GNSS RTK and SLAM technology allows for the collection of georeferenced data even in areas where satellite visibility is limited.

The system is suitable for tasks such as the rapid 3D documentation of buildings, infrastructure, tunnels, mines, and other complex environments.

Key benefits

  • 32-line LiDAR scanner
  • GNSS RTK and visual SLAM in one device
  • Survey range up to 300 m
  • Data collection rate up to 640,000 points/s
  • Relative accuracy less than 1 cm
  • Absolute accuracy up to 5 cm
  • 360° × 270° field of view
  • 15 MP HD camera system
  • 512 GB internal storage
  • Real-time point cloud viewing
  • Hot-swappable batteries for continuous operation
  • Loop-free data collection
  • Weight approx. 1.7 kg
  • IP64 rating

Dense LiDAR data quickly

The RS30 32-line LiDAR scanner enables high point density and rapid data collection. The survey range is up to 300 meters with a 360° × 270° field of view, allowing large areas to be covered efficiently.

Point clouds can be collected directly in the field and utilized for purposes such as design, documentation, BIM modeling, and volume calculations.

GNSS RTK and SLAM in the same system

The RS30 combines GNSS RTK positioning, visual SLAM technology, and LiDAR scanning. This allows for flexible surveying both in open outdoor spaces and in environments where the GNSS signal is weak or unavailable.

The system's stated absolute accuracy is up to less than 5 cm, with a relative accuracy of less than 1 cm.

Real-time point clouds and efficient data collection

The RS30 allows for real-time viewing of point clouds during the survey. Loop-free data collection simplifies the mapping of large areas and reduces unnecessary work steps.

The system features 512 GB of internal storage, allowing even large datasets to be collected directly on the device.

HD cameras enrich the survey data

The RS30 15 MP camera system generates high-quality visual data to support 3D point clouds. The camera images facilitate object identification and documentation while enhancing the visual interpretation of the point cloud.

Designed for efficient field work

The RS30 is designed to be handheld and efficient to operate. Weighing approximately 1.7 kg, the system is easy to carry around the survey site.

Swappable batteries allow for battery replacement during the survey, which helps maintain continuous operation in longer projects. The battery life is approximately one hour per charge.

Suitable for versatile professional use

The RS30 is suitable for, for example:

  • 3D mapping
  • land surveying
  • BIM modeling
  • building documentation
  • infrastructure surveying
  • tunnel and mine mapping
  • architecture and design
  • industrial documentation
  • stockpile volume calculation
  • forestry and environmental mapping
  • indoor 3D surveying

Technical specifications

  • 32-line LiDAR
  • LiDAR range up to 300 m
  • Data collection rate up to 640,000 points/s
  • Relative accuracy < 1 cm
  • Absolute accuracy < 5 cm
  • 360° × 270° field of view
  • GNSS RTK
  • Visual SLAM
  • 15 MP camera system
  • 512 GB internal storage
  • Loop-free data collection
  • Real-time accuracy estimation
  • Swappable lithium battery
  • Operating time approx. 1 h / battery
  • Weight approx. 1.7 kg
  • IP64 rating

What does Mittatukku offer?

  • Onboarding in Finnish
  • User training
  • Technical support
  • Implementation of survey and point cloud software
  • Maintenance and calibration services
  • Financing and leasing solutions

Customers also bought: