Covert Facial Recognition Using Axis and Amazon By NYTimes

By: John Honovich, Published on May 20, 2019

What if you took a 33MP Axis camera covering one of the busiest parks in the US and ran Amazon Facial Recognition against it?

That is what the NY Times recently did.

Inside this note, we examine how they did it, what lessons to learn and not from their test.

**** ** *** **** a **** **** ****** covering *** ** *** busiest ***** ** *** US *** *** ****** Facial *********** ******* **?

**** ** **** *** NY ***** ******** ***.

****** **** ****, ** examine *** **** *** it, **** ******* ** learn *** *** **** their ****.

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

**********

** ***** **, ****, the ** ***** *** a ******, ** ***** ** ************ (but *****) ****** *********** Machine.

How ** *****

****** **** *** ** Axis **** ********* ******, ** *** ***** describes:

*** ******* ** ****** **** **** installed **** **** * decade *** ** **** people ***** *** ******* the **** *** **** for **********, *** *******, or ***** *** **** the *** ******* **** was ** *** ******. They *** *** ******** to ** * ******** device, ********* ** *** corporation **** **** *** park.

** ** ******-*** (***** ** ****** in **** **** ***** released). ** *** ****** explained ** **** ****, it ***** ********* ***** image ******* (*.*., *** sides *** *********) *** the ***** ****** ** pixels **** ** ******* notable ******* **** ** a **** ***.

**** ****** ** ******** available **************** (***** ** ****** here).

** *** ** ***** took *** ******** ********* stream *** ******** **** Amazon's *********** ****** ******* (** **** ****** *** facial ********* ****, ******* *** ********* part ** ** **** strong). *** ***** *********:

** *********** *** **** it ** ** ***** people ******* ***** *********, we ********* ****** ****** of ****** *** ****** near ****** **** (********* on ***** *********’ ********, for *** **** ****) and *** *** *** of ******* ******* ******’* commercial ****** *********** *******. 

*** ***** ** ******* to*** ** ***** ******, ***** **** *** ingest ****** *** ***** the ******* **** ******** like ****** ***********.

Results ******

*** ***** ********* *** results:

*** ****** ******** *,*** faces **** * ****-**** period (*** *********** ****** people, ***** * ****** could ** ******** ** multiple ******). ** ******** several ******** ***************, ********* one ***** ******* ** a **** **** ** Richard *******, * ********* at *** **** ******* of *********, **** ** 89 ******* ********** *****. The ***** ****: ***** $60.

**** **** ****** **** one ******** ***** - the ********* **** *** image **** *** **** camera ******** *** ********** headshot *****:

Negatives ** *** ****

*** **** ** ********* to ********* *** **** it ******. ** *** not. *** * **** that ****, *,*** ****  captures *** ***** ***, especially ***** ****** *********** will ******* *** **** face **** *** **** again ** *** *****. Moreover, ******* ********* ** people *** **** *****, they **** '******** ******* possible ***************'. *** ** Times ***** *** ****** out ** * ********.

But ********** *********** *** *********** 

** *** ***** ****, a ********* ****** **** people ****** **** ** right ****** *** ***** of **** ** **** poorly *** ** *** conducting ****** ***********. ** the ****** ************, **** people **** ******** ** a ******* ********, *********** the *******:

***, ** ***** **** the ****** ****** (*** Q3709 *** ***** *******), there **** **** ****** headshots **** **:

*******, ***** ***************, **** in *** ******, **** people **** *** ******* at *** ******, ** this ******* *****:

** *** *** ****, a ****** ********** *** selected *** ********* ***** would ** **** ******. On *** *****, **** still ***** *** ******* of ****** ** ******* people's ***** ******** **** they *** ****** ** various **********.

Doing  ******?

***, ** *** ** Times ********** ****** ***, if *** **** * massive ******** ** ********* images *** ******* *** may ** ******:

*** ****** *** *********** may **** **** ****** to * **** ******* of *******. ******* **** with * ************* ******** of ***** — **** a ******’* ******* ******** *** **’* ******** to ***** ******** ********** an ****** ****** ** real ****.

*** ********* ***** ******** is ******* *** (*.*.,** ** **** ****** the ***). ******, *** ******* still ******* * ***** problem ** **% ** even *** ******* *** unlikely ** ********* ******* the ******* ** ********* needed. *** *** ***** does *** ******** *** challenges ** ******** ********* results, ********* ***** *******, that ***** ***** ** a ***** *********.

 

Comments (21)

** *** **** **** Facial ***********, ******* ** with *** *** **** providers *** **** ** your **** ******** **** time *** ***** * text. ******* **** ***** is ******* ******** ** your *******, ********, ******, ATT *******. 

***** **** ******** **** a **** ****** *********** network ** ****** *  Multi-factor ************** ***, *** to *** **** *****, amazon, **** ******** *** presto. ******* ***** ****** recognition ******** ******** ****** of. 

*** **** **** ******* database, *** **** **** some ** ***** **** 33mp ***********, ****! *** you **** *** ****** Fox **** *** ***, TMI!  (***'** ******* **!)

** *** *** ** need **** **********, **** the **** **** *** bad. ***** **** **********. Perhaps ** *** ******* catch * *** ****** walking ******* **. :* #TinfoilHat

**** ********** ******** *** already ***** *** ******* Joe *** ***** ******* signature. *** ****** *********** suite *** *** ********** would ******** ** ********, but ** ******'* ******** me ** ** ***'* on *** *******. #********** #IsThatADron...

*** **** ********* **** is ******** *** ****** collectible *** **** ** be ****** ** **** time, * ** **** some *** ****** ****** notice ** ***** ** regulate ** ** *** Francisco *** **** ********. I'd **** ** ***** America *** **** **** becoming ********. *'* *** willing ** ***** ******* (privacy) *** '********' ** is *** ***** ******* point.

“** ***** ******** ***, ‘Oh ** ***, **** is ************,’” **. ******* said, ***** ** ******* him *** ********* *** experiment. 

*** ****** ******** *** “Oh ** ***, *** it **** *** **?”

 

****, **'* ****** ** Times **** *** **** most ***** ************* ** how ***** ************ ** general *** **** *********** is ********** *** ******* or **** ************* *** trying ** ******** *** public ** *********** *** it *** ** **** very *********** **** **** most ***** *********.

**** *** ******** ********* prehistoric */* **** ****** connected ** * ****-***** vr ***** ******* ****** results.

*** ********* ***** ******** is ******* *** (*.*., ** ** **** ****** the ***)

*** ***********. ** *** have * ****-**** **** system **** ***** ******* and ******* ********* *** after *** ****** ***'** have ****** **** ** figure *** ******** ** residency, **** *** ******** relations ** ****** **** all *********** ** **** city.

*** *** ***** **** not ******** *** ********** of ******** ********* *******, including ***** *******, **** would ***** ** * major *********

********* ******* ** **** much ********* ***** **** and ***** ******* *** eliminated ** ***** ******** cameras.

*** ***********. ** *** have * ****-**** **** system **** ***** ******* and ******* ********* *** after *** ****** ***'** have ****** **** ** figure *** ******** ** residency, **** *** ******** relations ** ****** **** all *********** ** **** city.

*** ******** ** ***** this ** ***** **** or **** ********* ***** to ** **** ** do **** * ***** without * ********* ********?

***** *** **** ******* reference ********. **** **** any ****** ******** *** it **** **** *** all *********** ***** **** person *** ******.

****** **** ******* ************ is * ****** ******* big **** ****.

*.****** *** ********* ********* numbers
*. ***** *** ********* by **** **% ********** (pick ***, **** *** that *** *******, ***** their *******, **** **** one..., ****** ***** *** out ** *********)
*. ****** **** ***** a ********* ****** *** apply ******** *** **** analysis *** ********* **********.

*** *******, **** ** for *** ********* ******* that **** ********** ** close ********* ** **** other **********. ***, **** up ***** *** ********* where **** **** **********, apply **** ** * grid *** *** *** further *********** **** **** as ***, ****** *** marital ******. 

** *****'* ** **** system ********* ** ***, which ** ****** ********, I ******** ****** **** into ****** *** ***

*****, *** *******:

***'** **** ****** **** to ****** *** ******** of *********, **** *** personal *********

*** *** *** ******** out *** *********, **** and ******** *********?

* ********** *** *** search *** ****** ** faces ******** ** **** systems *** *** *** not **** ***** ****, you ******* ** ** able ** ****** *** personal *********. *********, *** are ******* ***** * massive ****** ** ***** work.

*** *** **** ***** you *** ****, *** most '****-**** **** ******' have *** ******* **** are ********* ********** ** give *** ***** ** details / ****** ****** for **** **% ********** search.

**** ****, ***'* *** me ********** ***. ** you *** ********* *** can ******* ** ****, don't ***** **** ******* to **, ** *** sell ** *** ******** to ******* ******.

* **** ** ******. Here ****** **** *** larger ************** *** ******* of **-****** "**** ****" program, ***** ****** ******* subsidies ** ******** *** installing * ****-**** ************ system. ***** *** *****'* not ****** ******* ** provide *** ***** ** resolution *'* ******* ***** but **** *** ***** every *** *** * clearly ******* *** ****** where ***** **** ** one ** *** ** each ******** ****.**** $*** ******...

***** ***, *******, ****-**** CCTV ******** ** ****** much *** ******** ********* cities. *'* ******* ***** CCTV ******* ********* *** operated ** ***-********** ******** and ******* ********. 

*** ******* ** ** able ** ****** *** personal *********. 

**, ****, **********. **** the ********** ****** ** data, **** ** * camera ** **** ******** pole ********* *** *** months * *** ****** out ***** * ***. 

*********, *** *** ******* about * ******* ****** of ***** ****.

** ***** **** ****** at ***.

** #************ ** **** was ********** ********** ** immediate ******** ** #************ but *** #************ ** **** seen **** #************ *** #************ is ***** ********** ****** bowling, ***** ***** *** at ***** **** ***** (full ***** ******** ******** is * ***** ***** early ****'*, **** ****** than **** ***********) *****, than *** ***'* **** any **** ** ************ to ****** **** ******* him ** ********** ** a ****** ******* ***** be ********.

** #************ ...

**** ******* *** **** points *** ******** (*.*., match ********* ** * single **** ********** *** not **** * ****** real **********'* ***** *** split ****** ******** *** or ******** *********** *** mismatched).

** *** ***** ***** that *** ************ **** accurate, * ********* ***** that * ******* **** could ****** *** *************. But * ***** *** accuracy ****** ***** ******** in **** ** ********.

* ******* **** ******** issues *** ** ******* with *** ********** ****** of ******* *** *** singular ***** ** ********** and ***** ***'* ***** too **** ******* *** such ***** *** **** easy ** ********: **** face ** *** ********* locations ** **** ****** that ** *** ********** to ****** ******* ***** locations ** * ***** identification ** * ****, a ********* ** **** suspicious ********.

*******, ***** ** *** needed *** ****** ***********, meaning **** * **** sensitive, ****** ********** (**** remove *** *** ****** and *** **** ** pixels) *** ******* ****** can (*** **** **) used ** ************* ******* recognition ** **** *********. 

**, *****, ***'* **** the **** *****. *** said:

** *** **** * city-wide **** ****** **** start ******* *** ******* headshots *** ***** *** months ***'** **** ****** data ** ****** *** location ** *********, **** and ******** ********* ** pretty **** *** *********** of **** ****.

*** *** ****:

********** ****** ** *******... * more *********, ****** ********** (just ****** *** *** filter *** *** **** 3x ******) *** ******* sensor *** (*** **** be) **** ** ************* improve *********** ** **** distances.

*** ****, *** *** improve ****** **** **** and ****** ******* *** that's *** **** '****-**** CCTV ******* *** *****'

** ***:

******** ***** ** ********** and ***** ***'* ***** too **** *******

**** *** **** ** factor ** ******* ******** conditions, ******* ****** *** the **** **** ******'* appearances ****** **** ****, you *** ***** ** have * *** **** mismatches.

*’* **** *** *** system ***** **** ******* a ********* ******** ‘** the ***’ ** ****.  Then ** ***** **** had ******** ** **** from *** **** *******, with ******** ***** ** the **** *****, **** moments *****.

***** **** **** ****** impressed *** ****?

******, *'* *** ******* about **** **** *** camera. 

*******, **** **** ******** could ***** ** ** useful. ******** ******** *** be ********** *** ********** by ***** **********. ************* can ** ********** ** summon * ****** **** before ********* *******. ************** of *** *** ****** could **** ****** ***.

******** ******** *** ** identified *** ********** ** local **********. ************* *** be ********** ** ****** a ****** **** ****** something *******...

***: **** ** *** fourth **** ***** ***’** been **** **** ******* around, ******* *** *******.

***: ******** **’* *** first **** *’** **** here *****.

Cop:  Maybe, but do me a favor and scram anyway, ok?  We’re over our quota for people who look like you today.

***. ****'* ******* *** it's ***** ****.

 ** *** **** * put ** **** **** the **** ** *** camera *** ** **** me ( * **-****-*** Caucasian ****) **** * was * **-****-*** *****. I **** *** ** glasses ************ *** *** fur ** ** **** patch-goatee ****** ******** *** gave ** ******* ** and * ** ***** a **-****-*** *****.  * ruffled ** ******** **** and ***** ** **** “butch” *** ****. *’* a ****.  ** **** disagrees **** *** ****** by *** *** !  We **** * **** way ** **.  

** *** *** ******** that **** ********** **** $60 ** ******* **** faces **** * *****. Doing * **** ** the ******** *********** -

** ***** ** * day * ** **** in * ***** = 720 ***** *** *****

*** ***** / * hour ******** = ** segments

** * $** = $4,800 *** ***** ** operate

*,*** ***** * ** = ***,*** (***-******) ***** captured

***,*** / $*, *** = $**.** *** **** capture

*** **** **** ********* if *** *** **-*****-**** the ********* ** ********. No ****** ****** ** taking **** *** *****...

**** **** ** *********... It ** ******** $.** per **** *******.  ** 45.83/capture *** **** ***** have ** ** ***+

** ****** **** **** a ****** ;)

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