Few latest decades have seen rapid growth in the application of LiDAR in various industrial domains. LiDAR sensors become more and more available and currently can be fit on any device from a drone to a vehicle performing high precision data collection quick and easy. Yet, the most challenging and time-consuming task is to process the data accurately and deliver valuable insights to the final customer.
EOS - is the one to undertake the mission of interpreting and analyzing big data for a diversity of your needs. From now, with the advanced algorithms from our data scientists team, you are able to get the most precise outcome.
We detect built structures and produce accurate 3D urban models from raw LiDAR data Point Clouds in a fully automated mode. As a result, raw point cloud input data is transformed into 3D vector models with a high level of detail.
The system provides monitoring of city architectural changes over a selected period of time as an automated comparison and analysis of two LiDAR Point Clouds. This solution detects locations of changes in positions and shapes of buildings as 3D models with information about these changes.
The system builds a Digital Elevation Model that represents the bare earth terrain of a selected area, which is essential while managing various types of projects. It helps to visualize the contours accurately and precisely and get almost the real picture with all the natural and man-made objects within the area.
All files within input datasets should have the same coordinate reference system
Point density should be more than 3-5 points per square meter
Security real-time perimeter monitoring
The surveillance solution is highly effective for any land monitoring and may be deployed in the worst conditions for visibility including dust, smoke, fog and more. The software can be employed as a stand-alone monitoring system or together with other existing surveillance techniques such as a Video Surveillance System.