The startup develops a SLAM algorithm that enables precise 3D scanning of assets by converting individual scan points into a point cloud, which represents the scanned surface. This technology allows clients to efficiently process these point clouds into meshes, providing a solidified representation for various applications in asset management and visualization.
Funding
$330K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Creating accurate 3D models of environments and assets is often time-consuming and requires specialized equipment, limiting the efficiency and accessibility of 3D scanning for various applications. Existing methods may lack the precision needed for detailed analysis and visualization, hindering effective asset management and project planning.
Solution
Sonarski provides 3D scanning solutions leveraging a proprietary SLAM (Simultaneous Localization and Mapping) algorithm to efficiently create precise 3D models. The technology uses LiDAR data to generate point clouds, which are then processed into detailed meshes representing the scanned surface. Sonarski also integrates photogrammetry techniques to add color and enhance the visual fidelity of the 3D models. This combined approach enables rapid and accurate data capture, facilitating applications such as heritage preservation, predictive maintenance, and project planning.
Target Audience
Sonarski's primary customers include organizations involved in heritage preservation, infrastructure maintenance, construction, and any industry requiring accurate 3D models of real-world environments and assets.
Features
- Utilizes a custom-developed SLAM algorithm for accurate 3D reconstruction from LiDAR data.
- Integrates photogrammetry to add color information and improve the visual detail of point clouds.
- Offers both LiDAR backpack scanning and drone-based photogrammetry for versatile data capture.
- Processes 500,000 samples per second on a single core, enabling rapid point cloud generation.
- Combines LiDAR and photogrammetry data to create detailed and accurate 3D models.
- Provides 3D models suitable for various applications, including asset management, visualization, and predictive maintenance.