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  • Peterborough Leverages Ecopia's Visual Recognition Solution for HQ Property Vector Map

Peterborough Leverages Ecopia's Visual Recognition Solution for HQ Property Vector Map

  • April 28, 2016
  • 12:00 PM - 1:00 PM
  • Online

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Developing vector maps from geospatial imagery is slow, difficult, and inaccurate which hinders the creation of new unique maps necessary for commercial + government entities. The County of Peterborough used Ecopia’s data service to significantly reduce the time to create a building footprint layer for their online portal. Based on the accuracy of the results the information has also been circulated to other departments to assist in other areas of managing the county. Learn about how deep learning algorithms are significantly increasing the accuracy and efficiency surrounding automated feature extraction from immense amounts of Earth Imagery.

 Presented by Tammy Sikma, County of Peterborough, Manager of GIS and URISA member and Bill Singleton VP of Ecopia Tech.



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