Sail Handheld 3D Laser Scanner - S10

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The Sail S10 Handheld 3D Laser Scanner is a high-performance domestic surveying and mapping device. Below is a detailed introduction:

Technical Specifications

Dimensions and Weight: Overall dimensions are 297.7mm × 103.7mm × 104.8mm, with the main unit measuring 133.1mm × 104.8mm × 103.7mm. It weighs 1010g, making it compact, lightweight, and easy to carry and operate.
Camera Parameters: Equipped with two 12-megapixel Sail self-developed high-resolution wide-angle cameras, arranged at a 135° angle. The photo field of view reaches 360° × 270°, expanding image capture range and avoiding invalid photo information such as capturing the operator.
Lidar: The lidar is installed at a 20° tilt towards the ground, covering multiple directions including the ground, front, and ceiling. It offers a point cloud rate of 200,000 points per second and a point cloud frequency of 10Hz. The measurement range is between 0.1m~40m@10% reflectivity and 0.1m~70m@80% reflectivity, with an FOV of 360° horizontally and -7°~52° vertically.
Positioning Accuracy: Built-in standard RTK module supports 7 satellites and 21 frequencies. RTK positioning accuracy reaches 0.8cm+1ppm horizontally and 1.5cm+1ppm vertically. In stable RTK signal environments, absolute accuracy is better than 5cm, and relative accuracy is better than 1cm.
Power and Storage: Battery capacity is 3150mAh with a TYPE-C interface supporting PD 30W fast charging. Storage capacity is 256G, with support for expansion.

Performance Features

Efficient Scanning: The tilted installation of the lidar reduces scanning blind spots, eliminating the need for repeated angle adjustments and improving single-scan efficiency. With 200,000 points per second and a 10Hz point cloud frequency, it quickly captures large amounts of data, shortening scanning time.
Precise Positioning and Time Synchronization: The integrated RTK positioning module achieves microsecond-level time synchronization for core sensors such as RTK, IMU, and cameras, ensuring high-precision positioning and accurate coloring of point cloud data. In stable RTK signal environments, it provides high-precision point cloud data without the need for closed-loop scanning.
True-Color Point Cloud Imaging: Self-developed camera imaging algorithms and point cloud-image fusion algorithms, combined with microsecond-level time synchronization technology, enable more accurate coloring and realistic color reproduction of point clouds. It supports real-time computation and preview of colored point clouds, allowing users to intuitively monitor operations during work.
User-Friendly Operation: Features MagSafe design for one-handed operation, significantly enhancing convenience. The mobile software, tailored for handheld devices, supports Android and iOS systems. It allows real-time smooth preview of colored point clouds during operation and supports downloading and playback of real-time colored point clouds on the device.

Application Fields

Forestry Survey: Can navigate flexibly through forests to quickly acquire 3D information of trees. Based on DEM normalization and seed point single-tree segmentation technology, it accurately extracts detailed information such as tree coordinates, diameter at breast height, tree height, and crown diameter, providing data support for forestry resource surveys, forest ecological research, and forest management.
Geographic Information and Smart Cities: Used to acquire 3D data of urban terrain and features, such as buildings, roads, and bridges, providing high-precision data foundations for urban planning, topographic mapping, and 3D urban modeling, supporting the construction and management of smart cities.
Digital Agriculture and Forestry: Beyond forestry surveys, it can be applied to crop growth monitoring in agriculture, farmland topographic mapping, and orchard tree information collection, offering data support for precision agriculture and agricultural resource management.
Cultural Heritage Preservation and Archaeology: Performs 3D scanning of cultural relics and historical sites to obtain precise shape, structure, and texture information, providing critical data for preservation, restoration, and digital display of cultural relics. It also aids in archaeological research, such as site excavation and artifact documentation.
Firefighting and Emergency Response: Quickly acquires 3D spatial information of disaster scenes, such as fire sites, providing intuitive data support for rescue command, disaster assessment, and rescue plan formulation. It helps rescue personnel better understand the situation, improving efficiency and safety.