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News

Edge analytics alert hospital staff to helicopter arrivals

IndigoVision : 19 June, 2008  (Application Story)
A set of new camera based analytical functions from IndigoVision enables emergency centre to react to helicopter arrivals
Edge analytics alert hospital staff to helicopter arrivals
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 analyse the video.

Real-time analytics lead to increased effectiveness and improvements in incident response. 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, eg 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 in the USA. The operators are automatically alerted to the helicopter landing via an alarm in 'Control Centre', IndigoVision's IP Video and alarm management software. The alarm is triggered by the motion of the helicopter in the scene. To avoid further false alarms as the helicopter remains on the heli-pad and personnel move around, a re-arm time can be set. This will re-arm the motion trigger once the motion in the scene has stopped for at least this time, eg the helicopter has taken off. A fail-safe maximum time is also configured, which means the alarm would re-trigger if the helicopter was still present after this time.

The 'hooded camera' filter creates an alarm if the 'region of interest' is obscured, eg covering the camera, spray painting the lens or excessive de-focussing 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 Centre' 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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