Totally scalable real time analytics. At the edge.
Analytics algorithms bring significant benefits in both live-monitored and incident review operations, work 24 hours a day, 365 days a year and don't get tired or lose interest or concentration. Their use allows improved operational performance and an increased workload to be accommodated in a monitoring and control establishment without an increase in staff headcount. IndigoVision's high performance cameras and transmitters allow for multiple analytics filters to be run on the same camera.
Congestion Detection is used to detect a build-up of congestion in an area of interest (railway station platforms, public spaces, highway entry/exit sliproads, point-of-sale queues, etc). This helps to initiate timely action and prevent an undesirable situation from worsening. It can also be used to provide statistics for staff planning and marketing purposes. For example, it can detect when a shopping mall is at its busiest, or when hypermarket queues start to build up.
Motion detection can be used to detect unauthorized entry, for example, if a member of staff leaves by an unapproved exit. Specific areas of interest can be defined in a scene and searched automatically through a recording to identify and view any significant motion that occurred during the recording. This is hugely useful when searching for motion in a quiet area throughout a long period of recorded video. It can be tuned using parameters such as object size and sensitivity. A "no-motion" option lets you monitor things that should be moving and alert when motion stops, e.g. escalators and conveyor belts.
Abandoned Object Detection
Used for alarm generation when an object has been left in a busy scene (such as a suitcase in an airport or railway station), this feature is a key component in the timely management of dangerous situations. This functionality can also be used to detect illegal parking, or vehicles staying too long in certain zones, etc. It can also be used to search recordings for events such as parking violations and blocked freeways.
With a virtual tripwire set alongside a railway track, freeway hard shoulder, building perimeter or around a temporarily parked asset for example, an alert is generated when that tripwire is breached. Since the system "understands" direction, alarm discrimination based on direction of approach is made possible. A virtual tripwire can also be placed on the entrance into a building or parking lot to review how many people or vehicles enter it. Up to two Virtual Tripwires can be placed in the scene and combined with logic, e.g. alarm only if both Tripwires are crossed.
Museum mode can be used to detect theft of static objects. In this mode sensitivity is configurable and moving foreground objects are ignored. It can also be used when reviewing recording footage, for example, of a warehouse or a stockroom. It can quickly identify when a particular item was moved or removed from the scene.
Counter Flow is available to detect a person or vehicle moving in an unauthorized direction, e.g. a vehicle traveling in the wrong direction on a carriageway or a person moving the wrong way through airport security. Counter flow analysis can help optimize crowd control in public areas, such as the underground or train stations.
Hooded Camera Detection
Hooded Camera can be used to detect when a camera's view has been obscured. Examples include the camera being covered by a bag and the lens being deliberately defocused or spray painted.
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