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IndigoVision releases analytics for IP video

IndigoVision has released a new package of real-time analytics for its complete integrated IP Video system. The analytics run in the camera at the ”˜network edge’ making the solution totally scalable and not reliant on central processing to analyze the video.


The new analytics algorithms include intelligent re-arming, hooded camera filter, dual tripwires and "no motion" alarms. This allows pre-determined events to be identified as they happen, at any camera, and then drive the virtual matrix, e.g. display a salvo on a bank of monitors.
 
The re-arming analytics feature was developed in direct response to a customer requirement to monitor the helicopter arrivals at a hospital. The operators are automatically alerted to the helicopter landing via an alarm in ”˜Control Center’, IndigoVision’s IP Video and alarm management software. The alarm is triggered by the motion of the helicopter in the scene.
 
The ”˜hooded camera’ filter creates an alarm if the ”˜region of interest’ is obscured, e.g. covering the camera, spray painting the lens or excessive de-focusing of the camera. The ”˜no motion’ filter can be used to monitor items such as machines and escalators and trigger an alarm if they stop. The new ”˜dual tripwire’ feature extends the functionality of the existing tripwire algorithm with the addition of a second tripwire and configurable parameters that determine how the two tripwires interact with each other.
 
These new features complement the existing suite of analytics which can be run in real-time at the camera or on recorded video in ”˜Control Center’ for post-event analysis. The existing analytics include congestion detection, motion detection, abandoned object detection, counter flow, virtual tripwire, shape-based detection, object tracking and theft detection.

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