Deep Learning Surveillance Startups Deep Problem

By: John Honovich, Published on Jun 23, 2017

The undeniably good news for the video surveillance market is that we are seeing the rise of more startups than in many years.

The cause of this is clear - deep learning / 'artificial intelligence' / the next wave of video analytics. While video analytics in video surveillance had its initial entry almost 15 years ago, this one promises to deliver far higher accuracy and intelligence.

But even if the technology delivers, a critical business problem remains for these startups.

*** ********** **** **** for *** ***** ************ market ** **** ** are ****** *** **** of **** ******** **** in **** *****.

*** ***** ** **** is ***** -**** ********/ '********** ************' / the **** **** ** video *********. ***** ***** analytics ** ***** ************ had *** ******* ***** almost ** ***** ***, this *** ******** ** deliver *** ****** ******** and ************.

*** **** ** *** technology ********, * ******** business ******* ******* *** these ********.

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

Problem ** ***

*** ******* ** ***** these ******** **** *** in *** ********. *** will **** **** ***** with ** ******* ********* players ** *** ******? The ****** *** ******** hardware ******** ******* **** advanced ***** ********* *** are **** ** ********** low ******. ** *** opposite ****, ***** ******** generally **** ** ********* or ********** ** ***** surveillance ********. **** ** they **?

'Add **' **** ********

*** ******* ***** ** see ** **** ***** surveillance ******* **** ******** startups ** ** ******* an '*** **' *******, such **** *** **** brings ***** *** ******* and ***** *** ********* and *** **** ******** providers ***** **** ***** video ***** *** ********.

*** ***** ******** ** this, *** *** *******, is *** **********. *** startup ******* ** **** it ****** **** **** (developing ********) ***** ** avoids ****** ** ******** well-established ****** ** ********* hardware.

Cost *** ********** ** '*** **' **** ********

***** ************ **** ******** startups ********* **** ** sell ***** ******** ***, in **** ***, ********* as * ******* (** maximize *********** **********). **** creates * ********:

  • * *********** ******** ** cost *** *** *** user: *** *** **** still *** ** *** everything **** *** **** needs ** *** *** this *******. *** ********** case ** **** **** service ******** **** **** offsetting ***** *** *** risk ** **** ******** incumbents ***** ***** *** rival **** ******** ** their ******** *********.
  • ********, ****** ** * 3rd ***** **** ******** analytic ******* ******** *********** with *** ******** *********, which *** ******* ************* issues, ********* ******** *** monitoring *********** (*.*., ********** the ********* ******** **** the *** / *** main ********).

Incumbent ***** ***********

********* ****** (*** ******* ************* *** already ******* ****, *** ** ** clear ****** *** ********** will *** ********* **** time) *** **** ******** / ** ** *** next ******* ** *** to ***** ******** *********, as * *** ** differentiate ********** *** ***** back ******* *** ******* cycle ** ******** ***** cuts **** *** **** few *****.

** *** ****** **** incumbents *********** **** ******** into ***** *** ******, recorder ******** ** *** software, **** **** ****** certainly **** *** * significantly ***** ***** **** and **** ******** ******* complexity **** ******** *** are ********* ***-** *********.

Hope *** ********?

** *** * ******** paths *** ********:

  • ***** ***'* *** ******** and *********** ***** *** deep ******** ********* **** those ******* ** ********* such **** **** *** complexity *** ** ******* (e.g, ** ***,****** *** ******* ****, though **** ********* *** challenges ** ****** * competitive ****** **** ******* mature *********). ** **** way, ******* **** **** learning ******** *** ***** out ***** *** ******** line **** ****** **********, differentiating ** ***** ******** analytics. ** **********, *** it ***** *** ** simple, **** ***** ******** their ********* ** **** incorporate ******** ***** *** target * ****** ******* of **** ********'* *******.
  • ***** **** *** *******'* deep ******** ** *** superior ** **********, ******* having * **** ****** and ******* ******* ********. Convince ** ********* **** buying *** *** ******* and ************* *** *******'* software **** ** *********'* existing **** **** ********** the *********. **** ** easier ** ********** **** path * ***** *** almost ********* **** ****** in * *** ***** valuation.

******* ** ***** * paths, ** *** ******** analytics **** '*****' *** without ********** * *********** performance ******* **** **********, many ** **** ** these ********* *** ** risk ** ******* ***.

Comments (15)

****: *********** ****. *: **** **** ******** ** *** ****?

******, *** **** **** of ****** ** ***** rebranded / ******** ****** (e.g.,*** **** ** ****; Giant **** ** ****) *** **** **** drama (*.*.,*** **** *******, ********* Stole $** *******).

** ********** **** ** BRS **** ** **** they **** *** *****. A *********** **** ** BRS **** *** **** they **** **** ********** in **** *** **** raising **** *********.

*** ****** **** ****** with ***** ****? * recently ***** **** ******* a ********* ** ************* and ** ******** **** have *******, *** * don't **** ****** **** who *** **** ***** with ****.

*** ****** **** ****** with ***** ****? * recently ***** **** ******* a ********* ** ************* and ** ******** **** have *******

**** ****** ****** **** BRS **** (************ ***** ****, *** Omni **) **** *** *****, some **** ********* ********, essentially ******* *** ****** out.

***** *** *** ****** they ********, ***** *** company's *******, ***., * find ** **** ** understand *** *** ***** take * **** **** them ** **** *****.

*****'* * ****** ** emerging **** ********, *********** detecting ********* ********** (*.*., see ******* ******** ******* ** **********,************ ****** ******* ********).

****** *** *** *****. **** ** ****** **** **** ** mind *** **.

**** - ***** ******* ****/****, *** ***** *** *****-***, ** to ** ******** ** *** *********** ***** *************. **** *** big. * *** ** *********** ***** ************* *** ******* ****** in **** ** **/**

***** ******* ****/****, *** those *** *****-***, ** to ** ******** ** the *********** ***** *************.

*** ****, ****'* **** I ******** ** **** #2 ** *** *** of *** ****.

**** *** ***.

* ** ********* ***** that ******* *** *** because **** ******* *** startup *** *** ***** traction (***** ** **** as ** ***-**) ** justify **** ********* ** that *** *******'* ********** is **** ** **** more ********, *** *** incumbent ***** ** ** such, **** **** *** willing ** *** *** (which ************ *** *** been **** ** **).

****** *** *** **** *** ***** ****.

***! ******* ******?!

****** ****, **** *********** *******.

*'* *******.... ** *** various ***** *** *** any ******* ** ***** deep ******** **********?

*** ** ********* ** patented? ********** *** ******* giant *** ********* ******* 'if/then' ************, **? *** is **** **********?

*** ** *** **** learning ************ *************, **** *** *** any *** ******** '**** out ***' ** *** of *** ********** ******** players *** **** ******* their *** **** ******** algorithms?

** *'* *** ** Camio. **** *********** ** super-helpful *** ************* *** to ******** *** ********.

*** *** ************ ******** today ***** **** *** in *** ***** *** when ****** ****** *** as ***** *** ************ and **** **********.

**** ******** ****** ***'* really * ******* ** much ** ** ******** tech, ** *** ***** for ******** *** ********** on **** ** ****** people ** **** **** the ***** *** *****. The *** ***** ********* (to ****** ****** *) competing ********** ********** ******** stack ** *) ******* of **********' ******* ****) are ********* ** *** growth ** ***** ****** by ****** ***** ************ become *** **** *** ears *** ******** **** learn. **** ******** ************* - ******* ** *** way *** *.* **** and ******* ******** ******* businesses **** ****** **** standalone ** ************ *****.

**** ******** ************* - similar ** *** *** Web *.* **** *** layered ******** ******* ********** much ****** **** ********** PC ************ *****.

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

*** *** ****** **** these *** ******* *** going ** ** **** bigger **** ******** ******* for ***** ************? ** so, ****** ********* **** examples.

***, ** *** ******* the $**** ******* ******** has * ******* ** the ******* ******** *******. They **** $*** ** illegal *** ********** *******. When ********* *** ***** at *** **** *** Electronic **********, **** ****** $32B ** *** ******** alone.

**** ********* *** ***** at *** **** *** Electronic **********, **** ****** $32B ** *** ******** alone.

*** ****'* *** ********* revenue / ****** **** for **** ******** ***** providers? ** **'* $*** congrats, ***'** ** ****** Tyco ** * *** years. *** * ** assuming *** ******** ******* potential ** *** *** lower.

******, *** ***'* ********* companies **** ******** ******** (take ********* ***** **** have ******* *** ************ targeting **** ********) **** that ********?

*) ***, *** ******* to **** ********* **** be *** **** **** $32B ***** ******** *** the ******* **** ** to ********* ****** *** whole ***** **** *********** to ******* ** **** to ************** ** **** learning ******** ** **** analysis ** ***** ****** etc... ***** ** **** it **** ******* **'* an ******* ** * market *********** **** ***'* be ****** ****** ** adding * ** ******* to * ******.

*) **** ****** ********* didn't **** *** ***. The ********* ******* **** than *** *******'* *********.

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