iCetana Video Analytics

By: IPVM Team, Published on Nov 10, 2014

In the US, BRS Labs has been the poster boy for outsized marketing.

However, BRS Labs' core claim of behavorial recognition does have value if it can be delivered.

Indeed, a quite company on the other side of the world says they can do very similar things.

We talked to them to learn more about their offering, its positioning and pricing.

** *** **, *** Labs *** **** *** poster *** ********************.

*******, *** ****' **** claim ** ********** *********** does **** ***** ** it *** ** *********.

******, * ***** ******* on *** ***** **** of *** ***** **** they *** ** **** similar ******.

** ****** ** **** to ***** **** ***** their ********, *** *********** and *******.

[***************]

***** ***** ********* ****** is **** ** ********** boasting *** *************, ********** developer************** ***** **** **** the **** ****, *** instead ** ********, ***-***, and ******* *************** *********** ** ***** webpage.

********

** * ***** ********* platform,**************** ***** ******** ****** and ***** ********* ****** to ****** ************ *********.*** ******* ********* ***** product**** ***:

"***************** ** ***** ** a ******** ********** ** call************. **** ********** **** not *** ** ******* any **********/********** **********, ****** identification, *** **** ** user-defined **************. *******, ** automatically ****** *** “******” motion ******** ** ******, vehicles *** ******* ** a *****."

*** **** *** ***** a **** *** **********'* *********? *** ******* says ***** ******* ***** manned ********* *** ******* to ********** ***** '******** events', ***** *** ****** employs **** **** ** cameras, *** ***** ******* surveillance ******** ***** **** patterns.

**** ** *** '***-***' approach ** *** ******* is ********* ************* **** an ***** ****-***, **** a ******* ******* ** selling ************ *******. *** company *** **** ******* on ********* *** ********** existing ******* ** *********, but ***** ** **** up ***** ******* ************** ****** ** *** months *****.

Analysis *******

*** ******** ** ***** on '********* ******', *** object *********.********** ** ****** ****** resolution, *** ****** ****** Field ** **** ** downscaled ** * ****, 5 *** ******, ************'* **************** ***** ******* ** the ******* ***** ** a ******* ******** ** the *** ***** ****** appear.

*** **** ***** (*******) are ****** **** *************** *** ** ************ tuned ** ***** ** different *************. ***** ******** alarms *** ***** ** comparing ***** *****, ***** change *********, *** ******** of ******* ******* * 'normal' *********. ************* ** the ***** ***** ******* first ***** ** ****, and **** ***** *********, which *** ******* ****** minimizes ***** ****** *** to ******** ******* **** weather ** ******* ***********.

*** ******* ****** **** analyzing ******, *** ********* objects, ******* ** * faster ******** *** ***** false ******.

Operators ***** ******

*** ******* ***************** ** **** ** reduces *** ****** ** video ****** ** ******** must ****, ** **** only ****** ********* ** atypical ****** *** *****.************* **** ** ****** on **** **** *% of ******* ******** **** **** ****, a **** ********** ** those ***** ** ** 'actionable ******** ******'. ******* the ******* ******* ** filtering *** *** **** for ***** ********* ** needlessly ****** ******** ** hours ** '******' *********** video.

** **** *****,********* **** ******* ** certain *******, *** ** active ******* ***** ********** operation ** ******** *** deployment. *** ******* ** selective ** ***** ******* it **** ******* ******* into, ********** ** ***** system ******** *** **** results.

Coarse *********

*******, ****** *** ****** of ***** ** *******, it ****** **** ***** out ** * *****. Even ****** ** **** like '****** *********' *** be * ********* **** a **** ******. *********** detecting ***** ******** ******* out **** ** **** for * ******* ****** in * **** *** scene ******* ** *** crowded ** **** *** scene ******** **. *** company ********* *********** ** these *****:

"** ****** *******/****** **** operator *** *** ********** clearly. ** ***** ****** in ********** **** *** hard *********** ** ***/*********** ** will **** ********* **. [****] **** ****** ***** of **** ******* (*.*. framing ****** *****) *** ok *** **/*** ** door, *** *** *** cross **** ******* ***** can ***** **** *******, where ***** *** *** many ****** ***** ** data."

Server *****

********* ********* ** ********** servers **** ** **********. The ******* ****** **** much ** *** ****** analytics ** *** *****, and * ******************* *** ****** * maximum ** *** *******.

**************** **** ******* ****** in * ********* ******* from *** ******** ** days. **** ** ***** is *********** ** ******* in *** **** ********* VMS, *** ********* ********* stores * ********* **** of *** *****.

*** ******* ***** ******** and ******** ** * single **** ******, *** all *********** *** **** the **** ***** ****** and ******** ******* ** groups ** *** ******* per ******.

Typical ****

***** **** ******* ***** between $**** - $**** per *******, *** * minimum *********/********/******* **** ** about $***,*** - $***,***. In **** ***, *** maintenance ****** ***** ***** 15% ** *** *****, or ***** $**,*** *** server *** ****. *** company ***** ******** *** software ******* **** *** ongoing *********** ***.

*** ******* *********** ****-******** every ********* ********** ** sending ***** *** ********* to **** **** ******* resellers *** ***********.

VMS ************

*******'* ***** *** ******* VMS ******* ***********,***********, *** *****, ***** on ******** ******* ************. However, *** *********** ***************** ***** *** *****, comprised ** ***** ****** that ***** ****** ******** on*******'* ******** ******.

Company *******

*** ******* ******* ** 2010, ** * ******* of * ****** ********** computer ****** ******** *******. To ****, *** ******* has ******** ** ********* buildings, ************** ****, *** universities ****** *********, *** plans ** ******* *** first ***** ******** ******* in ** ****.

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