Key Outcomes
- Faster Processing: Leveraging Spacesium’s domain expertise and LiDAR processing toolboxes significantly reduces processing time.
- Enhanced Accuracy: Automated workflows built within Spacesium’s pre-trained models improves precision.
- Geospatial Analytics: Rapidly derive insights from information that has been processed with our engines.
- Seamless Integration: Spacesium’s Scout 3D platform delivers an all-in-one solution for both consumers and enterprises.
Revolutionizing LiDAR Point Cloud Processing
Spacesium, an Australia-based geographic information system (GIS) software company, is making strides in location data. One of the persistent challenges in the industry is the efficient and accurate processing of LiDAR point clouds. These datasets, often massive and noisy, require advanced techniques to extract meaningful insights in a timely manner.
To tackle these issues, Spacesium has developed a cutting-edge deep learning solution using MATLAB®, enabling rapid processing and labelling of large-scale LiDAR point clouds. The team utilizes MATLAB’s Lidar Toolbox™ to intelligently down sample point clouds, reducing their size without significant loss of critical information. When dealing with exceptionally large datasets, Lidar Toolbox facilitates breaking them down into smaller, manageable segments for independent processing.
Enhancing Accuracy with Deep Learning
Traditional feature-based methods often fall short in delivering both speed and precision. Spacesium harnesses the power of Computer Vision Toolbox™ to denoise LiDAR point clouds, ensuring higher accuracy in the final output.
Additionally, with Deep Learning Toolbox™, Spacesium has trained a PointNet++ network, streamlining object segmentation within point cloud datasets. The model, easily deployable through a single function, identifies and segments objects with remarkable efficiency. Extracted data is stored separately, allowing for seamless integration into other applications while preserving the original point cloud integrity.
Transforming Industries with AI-Powered Geospatial Solutions
Spacesium’s deep learning-driven LiDAR processing solutions are being applied across multiple industries, including:
- Forestry: Mapping tree canopies and assessing vegetation health.
- Powerline & Infrastructure Analysis: Detecting obstructions and monitoring asset conditions.
- Disaster Management: Assessing damage and aiding in disaster response planning.
- Mining: Enhancing exploration and operational efficiency through terrain mapping.
A Complete Geospatial Solution
With its Scout 3D platform, Spacesium provides an all-encompassing solution that bridges the gap between 3D scanning data and actionable insights. By integrating deep learning models with GIS software, Spacesium is making it easier for industries to automate geospatial data, ensuring faster processing, increased accuracy, and improved decision-making.
As technology continues to evolve, Spacesium remains at the forefront, pushing the boundaries of AI-powered geospatial solutions to create a smarter, more connected world.
For more information you can visit www.spacesium.com
