ParkOr

Deloitte Canada client needs a simple, cost-effective solution for automatically estimating businesses from a small parking lot to a large city or town every day.
Access to such georeferenced data, however, is very expensive both economically and temporally.

We proposed a solution based on:

  • Sentinel-1 (SAR) and Sentinel-2 (optical) images (10 m) powered by AI/ML algorithms;
  • An automatic procedure to extract parking to monitor;
  • Integration with weather and traffic data;
  • A simple platform to view and interact with processed data and analyses;
  • API to integrate Parkor into any third-party system.

Deloitte Canada client needs a simple, cost-effective solution for automatically estimating businesses from a small parking lot to a large city or town every day.
Access to such georeferenced data, however, is very expensive both economically and temporally.

We proposed a solution based on:

  • Sentinel-1 (SAR) and Sentinel-2 (optical) images (10 m) powered by AI/ML algorithms;
  • An automatic procedure to extract parking to monitor;
  • Integration with weather and traffic data;
  • A simple platform to view and interact with processed data and analyses;
  • API to integrate Parkor into any third-party system.

This way, Deloitte Canada can integrate into existing systems, or use our platform, to gain access to features such as:

  • Trend analysis for an Aoi (which can extend from a parking lot to an entire country):
  • Economic trends related to a specific category of activities,with the possibility of delving into the business category (for example, for restaurants it may be useful to analyze the differences between fast-food and classy restaurants);

Below are some screenshots of the platform which can be organized on different levels, starting from a dashboard for the analysis of specific cities or car parks.

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