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Geospatial Data Analysis for National Highways

  • Applied machine learning and computer vision on 3D LIDAR and Drone Imagery.
  • Automated detection of road defects for the National Highways.
  • Developed systems to identify key landmark features within drone imagery.
  • Integrated satellite data from the European Space Agency (ESA).
  • Implemented automatic blurring/redacting of number plates.
Mohammed worked on this case as the Senior Machine Learning Engineer at K-Matic (Korec Group).
Senior Machine Learning Engineer
Machine learning
Geospatial Analysis
Computer Vision
Transportation
Government
UK
Enterprise
Road Defect Detection
Drone Imagery
Python
Segformers
Haarlike Classifiers
AWS
B2G
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Mohammed

Senior Machine Learning Engineer at Tensora

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