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Correlation Systems > Research > INsider

INsider

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INsider is an R&D research innovation for inner-perimeter security and intelligence, funded by "Eurostars".

It's innovative edge lays in a real-time geospatial analysis tool for automatic detection and prediction of events and routines within geospatial arenas (buildings, floors, closed complexes, etc).

INsider “learns” the routine activity within an area or building based on data accumulated over time, and can automatically detect abnormal activities accordingly.

INsider's real time geospatial data mining engine produces:

  • Predictions of future geospatial events

  • Real time detection of deviations from the prediction

  • Real time multi-hypothesis analysis

 

These are used to create analysis models, namely types based on the following models:

  • Person's activity - Studies the route of all users throughout the perimeter and responds to irregular activity.

  • Correlated users - Detects geospatial connections between people (e.g. employees).

  • Area's activity - Detects abnormal activity within a certain area in a certain time. 

 

 
 
   

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