Self-Learning Video Analytics.

 

Self-Learning Analytics extend the effectiveness of your security personnel by providing effective
monitoring and enabling proactive, real-time response from your team. Builtfromthegrounduptomanagehighdefinition video, Avigilon offers analytics embedded in Avigilon cameras up to 5K (16 MP) resolution.
Through the use of advanced pattern-based analytics and teach-by-example technology, Avigilon video analytics are
designed to increase the productivity of security personnel while making monitoring more affordable and efficient.

 

Advanced pattern-based analytics
Avigilon advanced video pattern detection technology is able to accurately recognize the movements of people and vehicles while ignoring motion not relevant to a scene. Embedded into cameras up to 5K (16 MP), the system’s ability to constantly learn reduces false positives and helps ensure alerts are meaningful, which avoids wasted time and improves efficiencies. 

 

Teach-by-example technology
Our teach-by-example object classifier technology enables users to provide feedback about the accuracy of alarm events generated by Avigilon devices. Rather than decreasing analytics sensitivity to reduce false alarms, the feedback trains the device, increasing the accuracy of the analytics used to determine which alarms are real and which are false to further improve a low false-positive alarm rate.

 

Over time, the system learns the scene and is able to prioritize important events based on user feedback. This increases sensitivity to conditions that are of concern while reducing false alarms to keep the focus on what matters.

 

1. Real-time analysis of video for immediate detection of events of interest, Such as :

    

  • Penetration of unauthorized people / vehicles into restricted areas

  • Tailgating of people / vehicles through secure checkpoints

  • Traffic obstacles

  • Unattended objects

  • Vehicles stopped in no-parking zones, highways or roads

  • Removal of assets

  • Crowding or grouping

  • Loitering

 

2. Analysis of pre-recorded video for the purpose of extracting events and data from the recorded video.

 

3. Retail statistical analysis to present traffic volumes, movement trends and motion patterns.

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Real-Time Detections & Alerts

savVi Real-Time Detections and Alerts

 

  • Transforms video surveillance system from a passive tool to a proactive detection system.

  • Detects a wide range of events relating to people, vehicles and static objects.

  • Analyzes video from multiple sources in parallel, including fixed, PTZ and thermal cameras.

  • Enables unlimited combinations of analytics detection rules to be applied to each camera.

  • Allows complex detection scenarios which combine/link detection rules from multiple cameras.

  • Offers an innovative “Rule Test” which allows automatic validation of detection accuracy in the installation phase.

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Real-Time Detections & Alerts

savVi Real-Time Detections and Alerts

 

  • Transforms video surveillance system from a passive tool to a proactive detection system.

  • Detects a wide range of events relating to people, vehicles and static objects.

  • Analyzes video from multiple sources in parallel, including fixed, PTZ and thermal cameras.

  • Enables unlimited combinations of analytics detection rules to be applied to each camera.

  • Allows complex detection scenarios which combine/link detection rules from multiple cameras.

  • Offers an innovative “Rule Test” which allows automatic validation of detection accuracy in the installation phase.

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Video Analytics for Investigation (Video Search)

savi Video Search 

 

  • Offers extensive range of search parameter filters to pinpoint video segments of interest

  • Presents versatile visualization displays that minimize video viewing time

  • Delivers rapid results: Searches 24 hours of video in a few seconds

  • Enables simultaneous search on any number of cameras

  • Increases efficiency in investigations relying on recorded video

  • Allows search to be applied in near real-time for enhanced situational awareness and incident response

 

 

 

Video Analytics for Investigation (Video Search)

savi Video Search 

 

  • Offers extensive range of search parameter filters to pinpoint video segments of interest

  • Presents versatile visualization displays that minimize video viewing time

  • Delivers rapid results: Searches 24 hours of video in a few seconds

  • Enables simultaneous search on any number of cameras

  • Increases efficiency in investigations relying on recorded video

  • Allows search to be applied in near real-time for enhanced situational awareness and incident response

 

 

 

savVi Video Analytics.

 

Video Analytics, also referred to as Video Content Analysis (VCA), is a generic term used to describe computerized processing and analysis of video streams. Computer analysis of video is currently implemented in a variety of fields and industries, however the term “Video Analytics” is typically associated with analysis of video streams captured by surveillance systems.

 

Video Analytics applications can perform a variety of tasks ranging from 

 

1. Real-time analysis of video for immediate detection of events of interest, Such as :

    

  • Penetration of unauthorized people / vehicles into restricted areas

  • Tailgating of people / vehicles through secure checkpoints

  • Traffic obstacles

  • Unattended objects

  • Vehicles stopped in no-parking zones, highways or roads

  • Removal of assets

  • Crowding or grouping

  • Loitering

 

2. Analysis of pre-recorded video for the purpose of extracting events and data from the recorded video.

 

3. Retail statistical analysis to present traffic volumes, movement trends and motion patterns.

Real-Time Detections & Alerts

savVi Real-Time Detections and Alerts

 

  • Transforms video surveillance system from a passive tool to a proactive detection system.

  • Detects a wide range of events relating to people, vehicles and static objects.

  • Analyzes video from multiple sources in parallel, including fixed, PTZ and thermal cameras.

  • Enables unlimited combinations of analytics detection rules to be applied to each camera.

  • Allows complex detection scenarios which combine/link detection rules from multiple cameras.

  • Offers an innovative “Rule Test” which allows automatic validation of detection accuracy in the installation phase.

.

Video Analytics for Investigation (Video Search)

savi Video Search 

 

  • Offers extensive range of search parameter filters to pinpoint video segments of interest

  • Presents versatile visualization displays that minimize video viewing time

  • Delivers rapid results: Searches 24 hours of video in a few seconds

  • Enables simultaneous search on any number of cameras

  • Increases efficiency in investigations relying on recorded video

  • Allows search to be applied in near real-time for enhanced situational awareness and incident response

 

 

 

Video Analytics for Business Intelligence

savVi Business Intelligence

 

  • Delivers accurate, wide-ranging statistical data related to people and vehicles.

  • Offers advanced visualization tools including charts, graphs and heat maps, for effortless analysis of the data.

  • Enables exporting of the raw data for further analysis or integration with other systems.

  • Enhances operations and marketing decisions for the retail sector through customer behavior analysis.

  • Provides key metrics for highway operators through vehicle flow and speed analysis.

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Video Analytics Architectures

Agent Vi’s Distributed Implementation

 

Agent Vi has a unique and patented architectural approach to Video Analytics, called “Image Processing over IP networks” (IPoIPTM). With Agent Vi’s architecture, the Video Analytics task is distributed between the edge device (which may be an IP camera or encoder) and a server. This approach optimizes the workload on the edge device and server and yields high quality analytics performance.

 

A key benefit to Agent Vi’s distributed architecture is that a single server can run comprehensive Video Analytics functions on up to 200 cameras simultaneously. This hardware efficient camera-to-server ratio is achieved without compromising on the range and performance of the analytics functionality, which makes it especially beneficial for large scale surveillance installations. 

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