Our highly accurate analytics offers numerous type of package and each targeted at a different application segment and containing only the functionality that required. It is designed to fit the specific needs of each customer before deployment.

• Object Classification: Differentiation in all events between a person, vehicle or other object.
• Cross Boundary Event Detection:

  Detects when the specified object moving in a specified direction crosses over a line drawn within the camera's Field of View. For example, if the object is a person, the person’s feet must cross over the line in the specified direction to trigger an alert. Cross Boundary can be uni-directional or bi-directional

• Multi-cross Boundary Event Detection:

  Enables building rules with association between two virtual cross boundary with respect to crossing one before the other and relative time between crossing both. For example, the Double Cross Boundary can detect illegal turns or traffic flow (vehicles or people) and can detect speeding

• Enters Event Detection:

  Detects when the specified object type enters an Area of Interest from any direction within the camera's Field of View

• Exits Event Detection:

  Detects when the specified object type exits an Area of Interest from any direction within the camera's Field of View

• Appears Event Detection:

  Detects when the specified object appears in the full camera view, or appears within a defined Area of Interest without first appearing within the camera's Field of View previously (for example, a person walking through a doorway that exists inside the Area of Interest)

• Disappears Event Detection:

  Detects when the specified object disappears from the camera’s Field of View without actually exiting the Area of Interest

• Exiting the Area of Interest:

  Detects when the specified object moves inside of a designated Area of Interest within the camera’s Field of View

• Loitering Event Detection:

  Detects when a person or vehicle remains (loiters) in the full view of a camera or designated Area of Interest for a configurable length of time

• Left Behind Event Detection:

  Detects when an object has been left behind or inserted in the full view of a camera, or a designated Area of Interest. For example, a Left Behind rule will trigger an alert when a suspicious object is left on the ground

• Take Away Event Detection:

  Detects when an object has been removed from the full view of a camera, or from a designated Area of Interest. For example, a Take Away rule will trigger an alert when a picture is removed from a wall

• Camera Tamper Event Detection:

  Detects any event that significantly changes the Field of View of the camera, such as the camera being panned away from a known view, a camera lens being painted, a camera being covered, turned off or unplugged, or the lights being turned on or off

• Object Size Filters:

  Filter out objects that are too large or too small to be objects of interest that can trigger real alerts. For example, size filters can be used to distinguish between a passenger vehicle (car) and a transport truck

• Object Size Change Filters:

  Filter out objects that change in size too rapidly to be objects of interest that can trigger real alerts. Such objects can be caused by rapidly changing lighting phenomenon such as lightning or reflections from strobe lights

• Object Size and Direction Filters:

  Filter out objects that change in shape and move in different directions between video frames too quickly to be real objects. Such objects include glitter from sunlight reflecting off water or foliage blowing in the wind

• Multi-view :

  The ability to store multiple views and rule sets for a given camera. This enables operation with a PTZ camera with multiple pre-set stops. Use of Multiview capability is hardware dependent

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