Video Analytic Architecture Considerations

Author: IPVM Team, Published on Oct 08, 2011

Video analytics may be implemented in a number of fundamentally different ways. Many ask: Which one is best? Each has important tradeoffs. Moreover, in our experience, some are far more likely to be accurate as well as simpler to deploy.

Below, we rank and analyze five fundamental approaches (alphabetically):

  • Add-On camera analytics
  • Analytics appliance / encoder
  • Cloud analytics
  • Embedded camera analytics
  • Embedded DVR / NVR / VMS analytics
  • Server based analytics

We also look at recent advancements in video analytics and what may be available in the future.

Let's start with a review of each approach:

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Cloud *********

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  • ******** ** *** ******* ** ******** *** *******.

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*** ** **** ****** ********* **** *********?

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**** ********* *** ******** ** ****? *** **** ***** ********* ******** ** ******* - ********, ****, Bosch, ****/*******/*****, **********.

*** ****** ********* ******** ** ***** ********* - **** *** Samsung ***** ******.

Embedded ***/*** *********

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**********

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  • ********** *******: ******* *** ********* *** **** ** *** ******** solution, ********* *** ********'* ****** ******** ****** ********** ******, ****** and/or ********* ******.

*************

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  • *********** ***********: ********** ** *** ** ***/*** **********, *** ********* may **** *********** ************ ** ***** *********** ** ******* *********.
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Server ***** *********

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  • **********: ******* * *** ****** ***** ** ** *** *** integration **** * *** ** **** ***** ** ** *****, this *** ** ***** **** ********* ** *** **.
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**** ********* *** ******** ** ****?***** ****, ***********, ***, ********

Rating ***** ******** *************

*** ***** **** ***** ******** ****** ********* ** ***** *** most ******** ******* ***********, **** ********* ********** ******** ******* *********** when **** **** ******* *******.

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****: ***** *** ******* **** **** *******, ** ** ** too ***** *** ******* ** ********* *** *** **** ** bad ** **.

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**** ********** *******, ***** (** *************) **** ***** ***** ********* ** maximum *****.  ***** ***** ** *********, ***** ******** **** ****** also ** ********* (**: ** ******** ****** **** ******** ***' *****, but **** **** ** **' **** ********** ***** ** **** may ** **** ****** **** ** ******** ****** **** * 300' *****, *** * ***' **** ***** ** ****).  ***** should **** ******** ******* ********* ********** ***** ** ***** ***********, in **** ***** ** ** ********* ** ******* >***' ***** consistently ** *** **** ** ***** ** ****, ****, ***, dust ******, ** ***** *******.

************, ***** ***** ********* ****** ** **********. ** ********* * 500' ********* ***** ***** ** *** **** ** * **** number ** ***** ******, *** ****** *** *** ** ** unreliable *******.

Recent ******* *** ************

***** ********* *** ******** ************ **** **** ********** ****** *********** over *** **** ******* *****.

**** ******* ***** ******* ***** ** ****-****-********* **********, *** *** few ******* **** ****** ****** ********** ****** *** *** ****** 2MP (****: ***** **** ********* ******* *** ******** **** ** 4K ** ****** ***********, **** ****** **** ****** *** *****, this ** ******** ** *** **** **** ****** ******** **** does *** ******** ***** * ***** **********).

****** ********* ******* ****** ********** *******, ******* ***** ******** *** ****** as "******" *** **** ********** ******* ******* ******* ("***/***** *******", "truck/large *******").  ***** ***** ** ****** *******, **** ** "****", "bicycle", "********", "******", "********", "***", ***. *** ****.

************ **** ********* **** ** *** **** ** **** ** deployment *** *************, **** ********* **** ******* *** *****/*** ********* auto-calibration ** ****** ***** **********.

****** ******** *** ********, **** ******* ****** ****-**** ******* ********** power **** ******, ***** **** **** ******** ** ***-** ********* even **** *********.

**** *** **** * *****, ** ****** ************ *** *********** ** ***** ********* *** ******** ************ ** improve *************. *** *******, ******** **** ****** ******** ***** ****** *** ********* ***** ********** *** ******-******* **********.  ****-******* ******* ************ are **** ********* ******* ******** ** ****-**** ***** ********** *** object **************. ***, **** *** *** *****, ***** **** ******* with **** **-***** ********** ***** **** **** ***** ********* **** viable.

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