Applies to: SightMind

Summary

One way to use SightMind is to create dashboards and widgets tied to devices at locations, organized in a tree for easy access. This method is convenient when details can be hard-coded into the dashboard and widgets. An alternative method, called Analytics, offers a more dynamic approach where you can instantly and continuously change which type of statistics you are interested in and on which cameras and locations.

This article provides an overview of the key features of SightMind Analytics.

Key Features

The following table outlines supported AI rules and charts.

The Analytics function supports the same AI rule types as SightMind widgets:

• Cumulative people counting – total number of people that cross a line
  
  
• People occupancy – net number of people in a space (using entries minus exits)
  
  
• People flow – rate at which people cross a line over a time interval
  
  
• People queues – number of people waiting in line
  
  
• Slip & fall – number of people who have slipped and fallen
  
  
• Crowd counting – total number of people in a given area
  
  
• Cumulative shopping cart count – total number of shopping carts that have crossed a line
  
  
• Shopping cart in use – net number of shopping carts in a space (using entries minus exits)
  
  
• Shopping cart queues – number of shopping carts in a queue
  
  
• Cumulative vehicle count – number of vehicles that have crossed a line
  
  
• Vehicle occupancy – net number of vehicles in a space (using entries minus exits)
  
  
• Vehicle queues – number of vehicles in a queue