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Analysis can be real time, that is, happening now, or from a recorded video stream. An assortment of events can be observed and action initiated. For example, the stream from a video camera trained on a parking spot can be analysed and an alarm raised when vehicle occupying the spot is moved. The video stream can also be used to generate statistical information such as the number of cars that park in a particular spot per day.
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Video analytics is widely used to gather business intelligence. In a retail environment analysis of a video stream can identify areas where customers spend more time, allowing the store owner to identify product which is of more interest. From this, the owner can make decisions about optimal product placement and pricing.
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Video analysis of a recorded stream can also pinpoint the time at which a particular event occurred. This feature can substantially reduce the time is takes to forensically analyse a large amount of stored video, a task that might otherwise demand significant amounts of time from a human operator of the video equipment. By sampling an area where an event occurred, the analytics engine can quickly identify changes in that area and pinpoint the cause in a matter of seconds.
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