Moving IP CCTV systems from Reactive to Proactive

Ahmed Baker 17.05.2017

We have been successful in moving many IP CCTV systems from Reactive to Proactive system by using RivaVCA which offers advanced algorithm IP CCTV Cameras. This technology simply allows the user of the CCTV system to categorize the object entering the camera seen which means a better decision of what to do next.

 

RivaVCA can filter detected objects such as Human, Vehicles, Boats, Animals etc. Once the camera can send such a METADATA, users can decide what to do next. For an example, if we take a main gate of a facility with car park in front of it. The operator doesn’t need to:

 

-          Look at every single car that pass by the gate.

-          Look at every human pass by the gate.

-          Look at every cat or dog pass by the gate.

-          Record on motion for every object passes by which will occupy a large amount of unwanted data on the recording drives.

-          Etc.

 

The purpose from the camera on the gate is to generate an alarm and alert the operator when a car stops or a human Dwell in front of the gate. This can be simply achieved with RivaVCA.

 

By setting the rules of:

 

-          Human Dwell or Stops in a specific ROI which here in this example the gate.

-          Vehicles Dwell or Stops in a specific ROI which here in this example the gate.

-          Animals to be ignored when Dwell or stops in front of the gate.

-          Any unclassified object to be ignored.

 

The output alarm can be simply:

 

-          Switch on a Raytec White LED Flood light.

-          Siren in the control room.

-          Email notifications to a specific person or multiple people.

-          Trigger the camera Output Trigger to any 3rd party devices.

-          Etc.

 

Differences between VMD and VCA:

 

Simply, there is a huge difference between video motion detection and video analytics. Video motion detection (VMD) is a way of defining activity in a scene by analyzing the differences that occur in a series of images. This is usually done by pixel matching or frame referencing. Any change between frames is regarded as “detection”.

Video Content Analytics (VCA) analyses live or recorded video and generates data for pre-emptive action or data mining purposes. It is generally regarded as superior to video motion detection as it identifies items of interest, eliminates the cause of many false alarms, and can provide more useful information.

 

The below are some videos to show how RivaVCA can detect an object identify it and take a decision based on it:

 

Human triggers an alarm when stopping or Dwell in an ROI: https://www.dropbox.com/s/0g558z6otlrff0j/RC6802HD-6211--Human%20Trigger%20ROI%20Alarm.exe?dl=0

 

Animals being Ignored and not triggering any alarm: https://www.dropbox.com/s/jo7a1t10ro9gzli/RC6802HD-6211--Animals%20Dont%20Trigger%20ROI%20Alarm-2.exe?dl=0

 

It can enhance your counting lines to count for Example cars and not human: https://www.dropbox.com/s/4jog5rjcj3k224n/RC6602HD-1080p-Counting%20Cars%20but%20not%20Humans.exe?dl=0

 

What is metadata?

 

Metadata literally means “data about data”. In the field of Video Analytics, it means the output created by the software. Metadata sent with a video stream describes the motion and properties of objects in the video scene on a frame-by-frame basis, together with events, counts and other status and debug information.

 

If you need any help in the design using analytics, please don’t hesitate to contact us and have the details of your project or your requirement.

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