
The "intelligence" in intelligent video applications describes the analysis of video images and the automated use of the resulting data. The benefits from intelligent video systems are numerous, and include:
Large-scale video surveillance systems are limited in their effectiveness because it is difficult for operators to watch numerous monitors and keep track of every incident. With intelligent video solutions, fewer operators can monitor even very large installations, since staff will not be required to attentively watch many monitors for hours to notice undesired activity. Instead, the intelligent video system supports and informs operators about, for example, people moving about in restricted areas, cars driving the wrong way, or attempts to tamper with the video surveillance cameras.
Finding incidents in stored video is extremely time-consuming since the operator has to watch the recorded video. Given the difficulty of searching through stored video, most of it is simply archived and deleted. Video analytics – such as video motion detection – ensures that only relevant video footage is stored, so that when the need arises to search through old recordings, only video that could potentially include the event in question is retrieved. In addition, intelligent video systems that, for example, have tagged the video stream with appropriate labels during recording, can automatically search through days of stored video to find the right video footage in a matter of seconds.
Intelligent video systems that include video motion detection and audio detection minimize the need for storage space by recording only video that contains activity. Furthermore, by placing intelligent video ‘at the edge’, that is, processing as much as possible of the video in the network cameras themselves, the load on the network is significantly reduced as only relevant video is streamed from the cameras. Intelligent video applications help build video surveillance systems that are more cost-effective.
Intelligent video also makes it possible to use video for applications outside of security. For example, in retail stores it can be used for analyzing consumer behavior, such as the number of people stopping by a particular merchandising shelf, or the popular routes through the shop. In airports, an intelligent video system could measure the queue time between entering and exiting a check-in point, helping direct staff and minimizing waiting time for travelers. In these and other ways, intelligent video makes it possible to extract greater benefit out of the video surveillance infrastructure, enabling a higher return-on-investment.