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VAMS LiDAR & Video Data Processing
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3D AI Training
Map Creation Cloud
Voxelmap’s VAMS platform provides a fully automated pipeline to process LiDAR and Imagery data to extract assets, features, and detailed information from your data sets.

We process the data using advanced deep learning AI algorithms, to recognize features not just in 2D but using full 3D semantic segmentation for higher accuracy.
Below is a list of some of the automated data processing we offer
Co-registration of LiDAR point Clouds
Sensor Fusion of LiDAR, Camera, GNSS & IMU data
Position Accuracy Enhancement through SLAM scene alignment for 3D data
Automated Asset and Feature Extraction of Road and City Scenes
Automated Measurements and Attribute Creation of Road and City Scenes
Indoor LiDAR data processing & Automated Feature Extraction
Deep Learning Based People, Vehicles & Moving Objects Recognition, Extraction and Removal
Automated Privacy Processing – Blurring of People Faces and Number Plate data from Image and Video Data
4D Spatial Data Processing for Change detection in Road and City Scenes
We have extensive experience or outputting the data in many different formats including, but not limited to: Shape, NDS, GeoJSON and XML.
In addition to the automated data processing workflows listed above, it is possible for Voxelmaps to customize its algorithms and pipelines to extract other types of data. Please feel free to reach out if you would like to see what is possible with your data set.

For more information please contact us at sales@voxelmaps.com

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