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Drone & Satellite AI for Mapping and GIS
Web product
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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.
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
Project Crew
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Backend Development