EOS LiDAR

Recent decades have seen rapid growth in the application of LiDAR in various industrial domains. LiDAR sensors are becoming more and more available and currently can be attached to any device from a drone to a transport vehicle. This ensures fast and easy high-precision data collection. Yet, the most challenging and time-consuming task is to process the data accurately and deliver valuable insights to the final customer.

EOS is undertaking a mission of interpreting and analyzing big data for a diversity of your needs. Starting now, with the advanced algorithms provided by our data scientists team, you are able to get the most accurate results.

Precise automated LiDAR solutions for your business

Solutions for LiDAR Data Processing Companies
  • Buildings Modelling Automation
  • Rooftops Modelling Automation
  • Urban-Change Detection Automation
Solutions for City Planners, Augmented reality & Gaming
  • Urban Modelling and Analytics for Smart Cities
  • Urban-Change Detection, update of an urban building inventory database
  • Reliable 3D Visualization of the urban environments. Augmented Reality 3D City Maps
  • Cast Shadow Estimation
  • Reconstruction of Sunlight Direction
  • Population Estimation in city suburbs, and in all rural areas
Solutions for Asset Management, Energy, Agriculture
  • Urban/commercial asset inspection
  • Topographic analysis and prediction of soil propoil propoil properties in agricultural landscapes
  • Tree grove structures monitoring
  • Solar potential estimation for buildings
  • Real-time security perimeter monitoring
  • Environmental risks assessment for the insurance policy

Automated Feature Extraction

We detect human-made objects/artificial structures and create accurate 3D urban models from raw LiDAR Point Clouds data 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.

Key use cases:

  • Urban 3D feature
  • Natural and human environment
  • 3D urban modeling
  • Urban Environment
  • Detailed model preview

Urban Change Detection

The system enables a monitoring of urban architecture changes over a selected period of time. It is done via an automated comparison and analysis of two LiDAR Point Clouds. This solution helps detect the locations of buildings change (position and shape) and present them as 3D models with the information about the changes.


Processing agriculture before
Processing agriculture after change detection
Urban-change detection within a block, district, and the entire city over different periods of time icon
Urban-change detection within a block, district, and the entire city over different periods of time
The exact location of changes icon
The exact location of changes
Detailed geodatabase of urban changes icon
Detailed geodatabase of urban changes
Statistics of changes icon
Statistics of changes

Topographic Modeling & Analysis

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 accurately and precisely visualize the contours and get almost a real picture with all the natural and human-made objects within the area.

topographic
topographic
topographic
topographic
Digital Elevation Model
Watershed delineation
Aspects, Slopes, Viewsheds
Network channel
Contouring, 3D contouring

Data Formats Supported

Input data

  • LAS (LAZ) 1.0 -1.4
  • .SHP vector file
  • etc.

Output data

  • GeoTIFF
  • .KML/.KMZ
  • .Obj

All files within input datasets should have the same coordinate reference system

Point density should be more than 3-5 points per square meter

LIDAR based surveillance system

Real-time security perimeter monitoring

Delivers software solutions for state border surveillance, commercial and civil asset management, and security monitoring

The surveillance solution is highly effective for any land monitoring and may be deployed in the worst visibility, including dust, smoke, fog, among other conditions. The software can be employed as a stand-alone monitoring system or integrated with other existing surveillance techniques such as a Video Surveillance System.

surveillance info
icon Benefits of the LiDAR-based surveillance system
  • Implements real-time automated 3D data processing:
    • Location of the detected features with up to 20 cm accuracy;
    • Depiction of speed, size, and the direction of a feature movement;
    • Ability to predict next movement probabilities;
  • Enables a high and effective awareness in reduced visibility (Darkness, Dust Storm, Thick Fog, etc.);
  • Outlines scenarios based on the defined time zone, type of the feature;
  • Allows to store only the relevant part of the surveillance video.
icon Real-time information stream
  • Intrusion allocation;
  • Feature size and dimensions;
  • Speed and direction characteristics;
  • Cameras suggested zoom;
  • Feature type and attributes.
icon Intrusion detection parameters
  • Accuracy of object location +/-20 cm;
  • Detection delay < 0.3 sec.
  • Accuracy of object size +/-20 cm;
  • Object speed 0.1 ... 10 m/s;
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