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Drone & Satellite AI for Mapping and GIS
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Project Details

Within this task we needed to get actual information from photos about geo-located objects like buildings, rivers, lakes, roads, forests, fields and place it on a generated map. 

The task also included the roofs layout classification and recognition. 

We utilized state-of-the-art and our own technologies based on computer vision, object detection, image segmentation and image processing to bring AI into this field. Our solution is a part of big pipeline that can do the following:

  •  detect objects;
  • determine its types and geometry on images from drones or satellites;
  •  recognize buildings and their geometry, including roofs layout, building type,its height and size; 
  • recognize roads, lakes, rivers, and put them on the map; 
  • analyze forests configuration, 
  • detect changes over time by comparing them with previous observations.

Project Crew

contribution-logo
Backend Development
Project links
Technologies
AI
ML
TensorFlow
pytorch
Scikit-learn
darknet
keras
Numpy
OpenCV
jupyter
Google Colab
Pandas
SciPy
NLTK
Matplotlib
Pillow
Seaborn
OpenVINO
MATLAB
fastai
Building
drone photos
object detection
forest configuration
detect changes
satellite imagery
Machine Learning

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