SHARE SLAM S20 3D LiDAR Scanner
SHARE SLAM S20 3D LiDAR Scanner - Image 2
SHARE SLAM S20 3D LiDAR Scanner - Image 3
SHARE SLAM S20 3D LiDAR Scanner - Image 4

SHARE SLAM S20 3D LiDAR Scanner

  • Point cloud thickness ≤ 1 cm, Relative accuracy ≤ 1 cm, Absolute Accuracy≤ 5cm
  • Two one-inch ultra-wide-angle cameras with mechanical shutters, totaling 32MP. The jelly effect caused by pixel-by-pixel exposure has been greatly optimized. The S20 point cloud coloring is more accurate.
  • Built-in visual-SLAM camera to solve laser SLAM degradation scenarios. SHARE S20 performs better in degraded scenarios such as tunnels and mines.
  • The new RTK antenna has stronger anti-interference ability and faster acquisition of fixed solution.
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    Features
    Specs

    Features

    One-Inch Large-Format Image Sensor

    Equipped with dual one-inch large-format CMOS sensors, featuring 2.4μm pixel size and 16 effective megapixels per lens. This configuration delivers enhanced photo clarity and more accurate and clear point cloud colorization.

    Professional-Grade Mechanical Shutter

    The mechanical shutter enables global exposure without jelly effect. This ensures more accurate colorful point cloud colorization and makes the photos highly suitable for nap-of-the-object photogrammetry modeling.

    Precise Colorzed Point Cloud

    Featuring microsecond-level system-wide hardware time synchronization, this results in highly accurate point cloud data. It ensures seamless integration of color and intensity point clouds.

    Powered by SHARE's Proprietary Algorithms

    The system delivers robust performance with SHARE’s proprietary LiDAR SLAM and Visual SLAM algorithms . This enhances real-time point cloud density and colorization effects, making it adaptable to diverse complex scenarios.

    Open Hardware Interfaces

    Open hardware interfaces enable cross-platform collaboration. Open SDK supports device communication, data transfer and operational control, ideal for new surveying equipment (e.g.,embodied intelligence systems).

    Supports Mesh Model Generation

    Raw data is fully accessible to software developers, allowing them to process the data using their own SLAM algorithms. The photos can be used for Mesh models, meeting the data processing needs across various industries.

    Optimized for Post-Processing Workflows

    Point cloud data integrates seamlessly into BIM/CAD workflows. Leveraging high-accuracy point cloud data enables efficient mapping and modeling.

    Photos Support 3DGS Modeling

    Benefiting from the one-inch large-format camera and combined with image pose metadata technology, the photos are clear with uniform color. This makes them better suited for 3D Gaussian Splatting model generation.

    Specs

    Physical Parameter
    Weight 1,07 kg (con batería)
    Battery 14,8V 3150 mAh
    Duration 150 minutos
    Charge USB-C 30W (Fast Charging)
    Storage 256 Gb (SD card)
    Level of protection IP54
    Working temperature -20 ºC-55 ºC
    Transport platform Manual
    Working modes Pure SLAM, Checkpoints and RTK
    Laser Unit
    Detection range 40m@10%, Maximum range 70m
    Relative accuracy 1 cm
    Absolute precision 5 cm
    LiDAR FOV H: 360º – V: 52º H: 360º – V: 52º H: 360º – V: 52º
    LiDAR class Class 1
    Point rates 200,000 points/sec
    GNSS Unit (POS)
    RTK Integrated
    RTK accuracy H: 0,8cm + 1ppm – V: 1,5cm + 1ppm
    Camera
    Number of camera 2
    Resolving power Total 24 million pixels
    Single camera resolution rate 12 million images
    Photo field of view angle 360°*270°
    Photo format .png
    Data and software
    Point thickness Within 1cm
    Processing method Real time solution/ post solution
    Absolute accuracy Better than 5cm
    Relative accuracy Better than 1cm
    Point cloud format Common formats such as .las, pcd,ply, etc
    Point cloud Support previewing colored point clouds
    Mobile software Supports IOS and Android
    Desktop software Supports one click output of color point clouds
    Built point cloud browsing Support point cloud and image space association vie

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