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Video Analytics

     Business intelligence collected through real-time monitoring of video surveillance streams using video analysis software helps identify patterns, attributes, and events of interest. Human-based close monitoring of many video streams is simply not possible. Thanks to video analytics, the system can alert video operators to important events and automatically trigger certain actions or procedures.

The most common types of video analysis are:

Automatic License Plate Recognition (ALPR)










      Automatic License Plate Recognition ( ALPR ) uses optical character recognition (OCR) technology on captured video to identify and read license plates. Source videos may come from existing closed-circuit television (CCTV) or video cameras, law enforcement cameras, or high-speed ALPR cameras mounted on roadway infrastructures.


Face recognition




Facial recognition (or more specifically facial recognition) technology has the ability to identify and match human faces from digital IP video. This data is typically compared to a database of authenticated users by matching their unique facial features. Facial recognition video analytics can improve building and perimeter security and detection of known criminals. To prevent spoofing (such as holding a photo of a person up to the camera), spatial recognition (ensuring the image is not rendered from a 2D source) and liveness checks (subtle movement of facial features) are often implemented. 

Crowd Detection 

    Crowd Sensing is a real-time surveillance technology that allows detection of crowd density to assess capacity or occupancy issues in a defined area. Crowd sensing applications include census, public event management, disaster management, security monitoring, military management, and suspicious activity detection.

Dropped or Picked Up Item Detection 




         Left or Taken Element Detection is a video analysis technology based on tracking the appearance and disappearance of static objects within a defined area. The technology is often used to detect potential bombs in public areas such as airports or subways, but it can also be used to ensure fire escape areas remain clear and unobstructed.

Motion and Object tracking 





     Motion Tracking in video surveillance is designed to reliably detect moving objects within a predefined area of interest. Motion tracking impacts a wide range of industries, including military, critical infrastructures, entertainment, sports, healthcare and robotics.

     Outdoor Object Tracking is a video analytics tool for detecting and tracking the movements of vehicles and people in outdoor environments. Object tracking applications include traffic control, visual surveillance, forensics, human-object interaction, gesture recognition, and augmented reality. New, AI-based object tracking analytics can identify the type of object, such as a vehicle or person.

People Counting 



     People Counters are video analytics optimized for indoor use that count the number of people passing through a specific area. Benefits may include occupancy control, capacity assessment, sales and conversion metrics, personalized visitor experiences, and measuring operational effectiveness.

PTZ Auto Tracking 

   Pan-tilt-zoom (PTZ) automatic tracking video analysis allows PTZ CCTV security cameras to track and zoom in on people and vehicles within their field of view. Some benefits of PTZ Auto Tracking include a wider field of view with fewer blind spots, motion tracking, and cost savings.


motion detection

    Video Motion Detection (VMD) is a feature that detects physical movement in a specific area in real time. Motion detection analytics are built into IP cameras, network video recorders, video analytics and video management software systems



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