Description
The Avigilon H5A camera line features next generation video analytics providing a smarter and more powerful video surveillance system. The cameras include enhanced object detection and classification, Unusual Activity Detection (UAD), Facial Recognition technology and support for Avigilon Appearance Search™ technology to help ensure critical events do not go unnoticed.
The cameras are available in dome, box, bullet and fisheye form factors in resolutions from 2MP up to 8MP, and multiple lens options to suit a variety of installation conditions.
SUPPORTED ANALYTICS EVENTS
- Objects in Area: The event is triggered when the selected object type moves into the region of interest.
- Object Loitering: The event is triggered when the selected object type moves into the region of interest and then stays for an extended amount of time.
- Objects Crossing Beam: The event is triggered when the specified number of objects have crossed the directional beam that is configured over the camera’s field of
view. The beam can be unidirectional or bidirectional. - Object Appears or Enters Area: The event is triggered by each object that enters the region of interest. This event can be used to count objects.
- Object Not Present in Area: The event is triggered when no objects are present in the region of interest.
- Objects Enter Area: The event is triggered when the specified number of objects have entered the region of interest.
- Objects Leave Area: The event is triggered when the specified number of objects have left the region of interest.
- Object Stops in Area: The event is triggered when an object moves into a region of interest and then stops moving for the specified threshold time.
- Direction Violated: The event is triggered when an object moves in the prohibited direction of travel.
- Tamper Detection: The event is triggered when the scene unexpectedly changes.
SUPPORTED CLASSIFIED OBJECT TYPES
- Object Types in Outdoor Mode: Vehicle, sub-types: Car, Truck,Bicycle, Motorcycle,Bus
Person - Object Types in Indoor Mode: Person
