Axis CTO: Deep Learning 'Exciting Space' But Urges Caution

By: John Honovich, Published on Dec 27, 2016

Deep learning interest is rising in video surveillance.

2016 saw:

Now, Axis CTO joins those touting deep learning but also advises caution about its adoption and timetable.

**** ******** ******** ** rising in ***** ************.

**** ***:

***,**** *** ***** ***** ******* **** ******** but **** ******* ******* about *** ******** *** timetable.

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

Deep ********

**** ******** ******* **** the *********** ******** ** performing ***** ********* ** video ************. *************, ***** analytics **** ********* ******* ******* and **** ********** (**** size, *****, *********, ***.) to ***** / ****** whether ** ****** *** a *****, *******, ******, etc. ** ********, **** learning **** ****** ******** that ****** ******** **** of ******* ******, ********, animals, ***. ******** / refining ******.

*** **** ********* ******* of **** ******** ** that ** ** ********** ** **** **** accurate **** *********** ***** analytics. *** *******, **** is * ********* ***** from ****************** ** ** ****** event:

*** **** *********** ******* with **** ******** ** that ** ** **** more *************** ********* ** train *** ******* **** approach, ***** ********* ******** costs *** ********* **********.

*** ***** ***** ** from * ***** ************ series ** **** ******** / ****** ********:

Axis *** ** **** ********

**** ************:

*** ************ ******** *** an ******* ** *********overpromising **** ***** ********* and I’m especially conscious of that that when it comes to deep learning. While we have been developing *** ********** ** **** *** ***** **** ****, I’m not ready to share too many details. I think deep learning has ** ****** ******* ****** ** ** ***** *** ******. So, while some of our competitors *** ** ******** to offer deep learning, Axis is committed to making **** *** ************** is robust, reliable and addresses real challenges. [emphasis added IPVM]

** *****, ***** ********* has ******** **** **** than * ****** ** overpromising. ******, **** *** ***** ********* offering ** **** ****** quite ******, ******** **** ******* ** OEM ****** ** ****. ** ******, **** is ****** *** *****, as *** ******** ** filled **** ****** ***** analytic ********, **** **** large *** ***** *************.

Outlook **** ********

** ** ***** **** Axis' *** ** *** caution *** **** ********. While **** ******** ** rapidly ******** *** ***** new ****** ** ***** surveillance, ** ***** ** actual********** ***************, *** ******* *** rare. ********, *** ********** products **** **** ******** are **** ********* ** even ********.

********* ********* ******* **** ******** has **** ****** ** it ******* ** ***** a ********** ****** ***** the *** ****, ******* government ********** ******** ** SMB ******** ***************. *******, as *** ****** *** ******** Hikvision's ImageNet ******* ******, ** ** *******, at ****, *** **** translates **** * ********** ready ********. ** ******, Hikvision's ***** ** ******* production **** ******** ***** analytics ****** ** ******* closely.

Conservatism ** ****

** ********, **** *********** culture ** ************, ********** their ************** ******* ***** not ********* ******** ** poor ******* ********. *** example ** *** **** - **** ***, **** was **** ********* * full *.*** ** ****. In **** ****, **** rapidly ****** ** *** surpassed **** / *** of ***** ***********.

*** ********* *** ** different. ***** *** ******* video ************ ************* **** * comparatively **** ***** ****** in ******** *** ***** analytics ***********, **** **** a **** ********** ******** to ********* ***** *** at *** ****. ** their **** ******** ***** analytics *** **** ******, this ***** ** ******** damaging ** ****.

** ** *** ***** for ** ** **** where **** ************ ** at **** **** ********, given *** **** ** actual ******** ********, *** as **** *********, ** is ********** *** ** the *** *************** ***** ** *****.

Comments (4)

There is mammoth potential in deep learning and I hope Axis and others are able to deliver a more effective product than Hikvision.  The search for video events has to be as good as Google Image Search and make use of the same methods as Google to search the events.  Manually typing "Vehicle=true, Quanty=2, Color=red" does not pass as a user friendly query. 

It is very interesting article and makes me review my surroundings.

Deep learning of HikVision was very big impact to me, and I/We started to investigate for deep learning actually. And I also understand Axis's concern of unmature of technology,  but it is quite right that  this time is to prepare for future.

I think the view point for this issue could be changed to customer from manufacture. If customer may accept new technology even though it is immuture, it is valuable and could be a start point of development and investment.

“AXIS: I am a dire wolf, prey-stalking, lethal prowler.

HIKVISION: I am a hunter, horse-mounted, wolf-stabbing.

AXIS: I am a horsefly, horse-stinging, hunter-throwing.

HIKVISION: I am a spider, fly-consuming, eight legged.

AXIS: I am a snake, spider-devouring, posion-toothed.

HIKVISION: I am an ox, snake-crushing, heavy-footed.

AXIS: I am an anthrax, butcher bacterium, warm-life destroying.

HIKVISION: I am a world, space-floating, life-nurturing.

AXIS: I am a nova, all-exploding... planet-cremating.

HIKVISION: I am the Universe -- all things encompassing, all life embracing.

AXIS: I am Anti-Life, the Beast of Judgment. I am the dark at the end of everything. The end of universes, gods, worlds... of everything. Sss. And what will you be then, Dreamlord of Deep Learning?

HIKVISION: I am hope.”

-A pun with a twist deviated from Neil Gaiman's, The Sandman, Vol. 1: Preludes and Nocturnes

Its hard to argue with that. Very hard.

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