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Avigilon Video Analytics

Avigilon self-learning video analytics embedded in Avigilon security cameras works in conjunction with the Avigilon Control Center to enable analytics events and alarms to be managed, viewed and searched through the use of advanced video analytics features.

Avigilon Self-Learning Video Analytics

Avigilon advanced pattern detection based video analytics technology for security is able to accurately recognize the movements of people and vehicles while ignoring motion not relevant to a high security scene.

Embedded into security cameras, the system’s ability to constantly learn reduces false positives and helps ensure security alerts are meaningful, improving surveillance efficiency.

Avigilon Self-Learning Video AnalyticsAvigilon Self-Learning Video Analytics: Download Flyer

Appearance Search Technology

Avigilon Appearance Search technology enables users to quickly locate a specific person or vehicle of interest across an entire site.

It can dramatically improve security incident response time and enhance forensic investigations by allowing operators to build robust video evidence and create a powerful narrative of security events.

The new Avigilon Appearance Search technology will allow users to initiate a search for a person by selecting certain specific physical descriptions, including hair and clothing colour, gender, and age. This feature is included in ACC 6.10

Avigilon Appearance Search TechnologyAvigilon Appearance Search Technology: Download Flyer

Teach-by-example video analytics technology

Avigilon's teach-by-example video analytics technology enables users to provide feedback about the accuracy of alarm events generated by Avigilon security surveillance camera devices.

Rather than decreasing video analytics sensitivity to reduce false alarms, the feedback trains from surveillance camera devices, are used to determine which alarms are real and which are false to further improve a low false-positive alarm rate.

Over time, the surveillance system learns the scene and is able to prioritize important events based on user feedback.

Avigilon Advanced pattern-based video analytics Technology

Avigilon Unusual Motion Detection (UMD) Technology
Avigilon Unusual Motion Detection (UMD) Technology

Avigilon Unusual Motion Detection (UMD) technology is an advanced artificial intelligence (AI) technology that brings a new level of automation to surveillance, by revealing events that may have otherwise been missed.

Without any predefined rules or setup, UMD technology is able to continuously learn what typical activity in a scene looks like, and then detect and flag unusual motion.

UMD technology is embedded on H4 Box, H4 Bullet and H4 Dome cameras, as well as H4 SL and H4 Mini Dome camera lines.

Avigilon UMD TechnologyAvigilon UMD Technology: Download Flyer


Avigilon Control Center - Video Management Software

Avigilon Control Center (ACC) is Avigilon's video analytics management software that optimizes the way security professionals manage and interact with high-definition security surveillance videos.

ACC-6 incorporates advanced search function in all surveillance cameras called Avigilon Appearance Search that enables the video analytics software to provide faster responses and reduce investigation time.

ACC-6 can be integrated with Avigilon's Access Control Management (ACM) system for full featured security cameras and video analytics and surveillance solutions.

Avigilon Video Analytics can be triggered on various situations such as;

  • A selected number of objects are present in the region of interest
  • The object stays in the region of interest for an extended amount of time
  • No objects are present in the region of interest
  • An object moves in the prohibited direction of travel
  • Specific objects are present in the region of interest
  • Object crosses a configured unidirectional or bidirectional beam over the camera’s field of view within a selected time period

Avigilon Control Center - Video Management SoftwareACC - Video Management Software: Download Flyer

Avigilon ACC 6.12Avigilon ACC 6.12: Download Datasheet

Avigilon Teach-by-example video analytics technology

KEY FEATURES
  • Ease of installation and ongoing accuracy: Point-and-shoot system setup. Self-learning video analytics works out of the box with no manual calibration required
  • Self-learning video analytics lower false alarm rates: Video analytics continuously adjust to increase detection and confidence levels
  • Broad variety of security and surveillance camera devices: Avigilon security and surveillance camera devices embedded with self-learning video analytics include appliances and surveillance cameras with resolutions from 1 MP to 5K (16 MP)
  • Pattern-based object classification and tracking technology: Object classification and tracking using pattern-based video analytics algorithms are tuned to recognize people and vehicles while ignoring nuisance motion
  • Operator input teach-by-example video analytics technology: Enables users to provide feedback to the system about accuracy, which further enhances the pattern-based video analytics database
  • Integrated with the Avigilon Control Center (ACC): Fully integrated with the ACC client and the ACC mobile so that users can respond in real time even from mobile devices. Video analytic alarm notifications can be automatically sent to any authorized client based on configured rules
  • Video analytics appliances for IP cameras or analog system: Add self-learning video analytics to IP or analog surveillance camera with Avigilon video analytics appliances
  • Idle scene mode: Idle scene mode reduces bandwidth and storage, and is triggered by video analytics specific objects rather than motion detection
  • Powerful forensics: Forensic search capabilities of video analytics events accelerate search times using a fully unified ACC client
  • No licensing required: Fully embedded edge video analytics with no additional rules-based licensing on cameras

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