Video analysis refers to all solutions in which the video surveillance system automatically evaluates the captured video material. The applications that perform this evaluation are also called video data analysis (VCA) or video analysis (VA).
What is video analysis?
Why video analysis?
Today, video data is recorded in large quantities, but only a fraction of the material is ever viewed or reviewed.
Important events can be overlooked without the use of video analysis. Incidents and unwanted activities are not detected or prevented in time.
Reduction of network load and storage requirements
The use of video analytics reduces memory requirements and network load enormously, since recording only takes place when activity is detected.
Such analysis algorithms are integrated in modern cameras. The processing and forwarding of the video material is done automatically.
Thus video analysis actively contributes to improving the efficiency of a video system.
As the video surveillance system grows in size, it becomes more difficult to keep an overview. The multi-monitor operation of modern video systems, which is common nowadays, makes it particularly difficult for personnel to keep an eye on what is happening.
By using intelligent video analysis, a few employees can monitor very large systems because unwanted incidents are detected automatically.
Intelligent video systems support the work of the personnel and inform them, for example, about persons in areas with access restrictions, about ghost drivers or about possible manipulation attempts on surveillance cameras.
Faster access to stored video
Searching stored video footage for incidents is very time-consuming, as staff must view the entire recording.
For this reason, it is usually kept and deleted after a certain period of time.
By using video analysis, e.g. motion detection, only relevant video material is stored, as only activity is stored.
If old recordings have to be searched, only material that could potentially contain the incident in question is retrieved.
In addition, intelligent video systems that, for example, have tagged the video stream during recording can automatically search through several days’ worth of footage and find the right location within seconds.
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Example of motion detection from Axis Video Motion Detection
Security camera as a marketing instrument
Video analysis allows video surveillance systems to be used for other areas away from security.
In retail stores, for example, they can be used to analyze customer behavior, such as how many customers stop in front of a particular shelf or how most customers move through the store (heat maps).
At airports, intelligent video systems can measure how long travellers wait at check-in counters. This data can be used directly by staff and shortens the waiting time of travellers.
Intelligent video systems offer multiple additional uses for the video surveillance infrastructure and thus ensure a high return on investment (ROI).
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What analysis features are available?
Motion tracking
Cameras follow the movement of people in a defined area.
Object Classification
An object is uniquely identified using defined parameters.
People counting
People/vehicles are counted at entrances and exits.
Virtual fence
If the virtual fence is exceeded, the system sounds an alarm.
Alarm zones & restricted areas
Movements in alarm zones are reliably detected.
left objects
The system sounds an alarm as soon as an left object is detected.
Direction recognition
The video system only sounds the alarm if a person moves in a defined direction.
Loitering around
If a person is detected in the defined area, the system sounds an alarm.
Dwell time
The system issues an alarm as soon as a defined dwell time is exceeded.
Occupancy & object density
Above a certain object density an alarm is triggered.
automatic dome tracking
The dome camera automatically follows an object.
License plate recognition
Reliable recognition of license plates.
