Covert Facial Recognition Using Axis and Amazon By NYTimes
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.
**********
** ***** **, ****, *** ** Times *** * ******, ** ***** ** ************ (*** *****) Facial *********** *******.
How ** *****
****** **** *** ** **** **** panoramic ******, ** *** ***** *********:
*** ******* ** ****** **** **** ********* **** than * ****** *** ** **** people ***** *** ******* *** **** was **** *** **********, *** *******, or ***** *** **** *** *** skating **** *** ** *** ******. They *** *** ******** ** ** a ******** ******, ********* ** *** corporation **** **** *** ****.
** ** ******-*** (***** ** ****** ** **** when ***** ********). ** *** ****** ********* ** that ****, ** ***** ********* ***** image ******* (*.*., *** ***** *** distorted) *** *** ***** ****** ** pixels **** ** ******* ******* ******* even ** * **** ***.
**** ****** ** ******** ********* **************** (***** ** ****** ****).
** *** ** ***** **** *** publicly ********* ****** *** ******** **** Amazon's *********** ****** ******* (** **** ****** *** ****** ********* here, ******* *** ********* **** ** be **** ******). *** ***** *********:
** *********** *** **** ** ** to ***** ****** ******* ***** *********, we ********* ****** ****** ** ****** who ****** **** ****** **** (********* on ***** *********’ ********, *** *** most ****) *** *** *** *** of ******* ******* ******’* ********** ****** recognition *******.
*** ***** ** ******* ***** ** ***** ******, ***** **** *** ****** ****** and ***** *** ******* **** ******** like ****** ***********.
Results ******
*** ***** ********* *** *******:
*** ****** ******** *,*** ***** **** a ****-**** ****** (*** *********** ****** people, ***** * ****** ***** ** captured ** ******** ******). ** ******** several ******** ***************, ********* *** ***** matched ** * **** **** ** Richard *******, * ********* ** *** SUNY ******* ** *********, **** ** 89 ******* ********** *****. *** ***** cost: ***** $**.
**** **** ****** **** *** ******** match - *** ********* **** *** image **** *** **** ****** ******** his ********** ******** *****:
Negatives ** *** ****
*** **** ** ********* ** ********* how **** ** ******. ** *** not. *** * **** **** ****, 2,750 **** ******** *** ***** ***, especially ***** ****** *********** **** ******* the **** **** **** *** **** again ** *** *****. ********, ******* thousands ** ****** *** **** *****, they **** '******** ******* ******** ***************'. The ** ***** ***** *** ****** out ** * ********.
But ********** *********** *** ***********
** *** ***** ****, * ********* camera **** ****** ****** **** ** right ****** *** ***** ** **** is **** ****** *** ** *** conducting ****** ***********. ** *** ****** demonstrated, **** ****** **** ******** ** a ******* ********, *********** *** *******:
***, ** ***** **** *** ****** imager (*** ***** *** ***** *******), there **** **** ****** ********* **** as:
*******, ***** ***************, **** ** *** center, **** ****** **** *** ******* at *** ******, ** **** ******* shows:
** *** *** ****, * ****** positioned *** ******** *** ********* ***** would ** **** ******. ** *** other, **** ***** ***** *** ******* of ****** ** ******* ******'* ***** outdoors **** **** *** ****** ** various **********.
Doing ******?
***, ** *** ** ***** ********** points ***, ** *** **** * massive ******** ** ********* ****** *** cameras *** *** ** ******:
*** ****** *** *********** *** **** have ****** ** * **** ******* of *******. ******* **** **** * comprehensive ******** ** ***** — **** a ******’* ******* ******** — *** it’s ******** ** ***** ******** ********** an ****** ****** ** **** ****.
*** ********* ***** ******** ** ******* key (*.*.,** ** **** ****** *** ***). ******, *** ******* ***** ******* a ***** ******* ** **% ** even *** ******* *** ******** ** regularly ******* *** ******* ** ********* needed. *** *** ***** **** *** consider *** ********** ** ******** ********* results, ********* ***** *******, **** ***** still ** * ***** *********.
**** ********** ******** *** ******* ***** the ******* *** *** ***** ******* signature. *** ****** *********** ***** *** are ********** ***** ******** ** ********, but ** ******'* ******** ** ** it ***'* ** *** *******. #********** #IsThatADron...
*** **** ********* **** ** ******** and ****** *********** *** **** ** be ****** ** **** ****, * am **** **** *** ****** ****** notice ** ***** ** ******** ** as *** ********* *** **** ********. I'd **** ** ***** ******* *** keep **** ******** ********. *'* *** willing ** ***** ******* (*******) *** 'security' ** ** *** ***** ******* point.
“** ***** ******** ***, ‘** ** god, **** ** ************,’” **. ******* said, ***** ** ******* *** *** explained *** **********.
*** ****** ******** *** “** ** god, *** ** **** *** **?”
****, **'* ****** ** ***** **** not **** **** ***** ************* ** how ***** ************ ** ******* *** face *********** ** ********** *** ******* or **** ************* *** ****** ** misguide *** ****** ** *********** *** it *** ** **** **** *********** even **** **** ***** *********.
**** *** ******** ********* *********** */* 320p ****** ********* ** * ****-***** vr ***** ******* ****** *******.
*** ********* ***** ******** ** ******* key (*.*., ** ** **** ****** *** ***)
*** ***********. ** *** **** * city-wide **** ****** **** ***** ******* and ******* ********* *** ***** *** months ***'** **** ****** **** ** figure *** ******** ** *********, **** and ******** ********* ** ****** **** all *********** ** **** ****.
*** *** ***** **** *** ******** the ********** ** ******** ********* *******, including ***** *******, **** ***** ***** be * ***** *********
********* ******* ** **** **** ********* these **** *** ***** ******* *** eliminated ** ***** ******** *******.
*** ***********. ** *** **** * city-wide **** ****** **** ***** ******* and ******* ********* *** ***** *** months ***'** **** ****** **** ** figure *** ******** ** *********, **** and ******** ********* ** ****** **** all *********** ** **** ****.
*** ******** ** ***** **** ** being **** ** **** ********* ***** to ** **** ** ** **** a ***** ******* * ********* ********?
***** *** **** ******* ********* ********. Just **** *** ****** ******** *** it **** **** *** *** *********** where **** ****** *** ******.
****** **** ******* ************ ** * rather ******* *** **** ****.
*.****** *** ********* ********* *******
*. ***** *** ********* ** **** 90% ********** (**** ***, **** *** that *** *******, ***** ***** *******, pick **** ***..., ****** ***** *** out ** *********)
*. ****** **** ***** * ********* number *** ***** ******** *** **** analysis *** ********* **********.
*** *******, **** ** *** *** reference ******* **** **** ********** ** close ********* ** **** ***** **********. Now, **** ** ***** *** ********* where **** **** **********, ***** **** to * **** *** *** *** further *********** **** **** ** ***, income *** ******* ******.
** *****'* ** **** ****** ********* by ***, ***** ** ****** ********, I ******** ****** **** **** ****** one ***
*****, *** *******:
***'** **** ****** **** ** ****** out ******** ** *********, **** *** personal *********
*** *** *** ******** *** *** residency, **** *** ******** *********?
* ********** *** *** ****** *** people ** ***** ******** ** **** systems *** *** *** *** **** claim ****, *** ******* ** ** able ** ****** *** ******** *********. Minimally, *** *** ******* ***** * massive ****** ** ***** ****.
*** *** **** ***** *** *** from, *** **** '****-**** **** ******' have *** ******* **** *** ********* positioned ** **** *** ***** ** details / ****** ****** *** **** 90% ********** ******.
**** ****, ***'* *** ** ********** you. ** *** *** ********* *** can ******* ** ****, ***'* ***** time ******* ** **, ** *** sell ** *** ******** ** ******* cities.
* **** ** ******. **** ****** much *** ****** ************** *** ******* of **-****** "**** ****" *******, ***** cities ******* ********* ** ******** *** installing * ****-**** ************ ******. ***** now *****'* *** ****** ******* ** provide *** ***** ** ********** *'* talking ***** *** **** *** ***** every *** *** * ******* ******* the ****** ***** ***** **** ** one ** *** ** **** ******** pole.**** $*** ******...
***** ***, *******, ****-**** **** ******** in ****** **** *** ******** ********* cities. *'* ******* ***** **** ******* installed *** ******** ** ***-********** ******** and ******* ********.
*** ******* ** ** **** ** figure *** ******** *********.
**, ****, **********. **** *** ********** amount ** ****, **** ** * camera ** **** ******** **** ********* for *** ****** * *** ****** out ***** * ***.
*********, *** *** ******* ***** * massive ****** ** ***** ****.
** ***** **** ****** ** ***.
** #************ ** **** *** ********** registered ** ********* ******** ** #************ but *** #************ ** **** **** **** #50932952452M *** #************ ** ***** ********** ****** bowling, ***** ***** *** ** ***** time ***** (**** ***** ******** ******** is * ***** ***** ***** ****'*, even ****** **** **** ***********) *****, than *** ***'* **** *** **** of ************ ** ****** **** ******* him ** ********** ** * ****** website ***** ** ********.
** #************ ...
**** ******* *** **** ****** *** accurate (*.*., ***** ********* ** * single **** ********** *** *** **** a ****** **** **********'* ***** *** split ****** ******** *** ** ******** individuals *** **********).
** *** ***** ***** **** *** observations **** ********, * ********* ***** that * ******* **** ***** ****** the *************. *** * ***** *** accuracy ****** ***** ******** ** **** an ********.
* ******* **** ******** ****** *** be ******* **** *** ********** ****** of ******* *** *** ******** ***** of ********** *** ***** ***'* ***** too **** ******* *** **** ***** are **** **** ** ********: **** face ** *** ********* ********* ** time ****** **** ** *** ********** to ****** ******* ***** ********* ** a ***** ************** ** * ****, a ********* ** **** ********** ********.
*******, ***** ** *** ****** *** facial ***********, ******* **** * **** sensitive, ****** ********** (**** ****** *** RGB ****** *** *** **** ** pixels) *** ******* ****** *** (*** will **) **** ** ************* ******* recognition ** **** *********.
**, *****, ***'* **** *** **** posts. *** ****:
** *** **** * ****-**** **** system **** ***** ******* *** ******* headshots *** ***** *** ****** ***'** have ****** **** ** ****** *** location ** *********, **** *** ******** relations ** ****** **** *** *********** of **** ****.
*** *** ****:
********** ****** ** *******... * **** *********, higher ********** (**** ****** *** *** filter *** *** **** ** ******) and ******* ****** *** (*** **** be) **** ** ************* ******* *********** at **** *********.
*** ****, *** *** ******* ****** with **** *** ****** ******* *** that's *** **** '****-**** **** ******* are *****'
** ***:
******** ***** ** ********** *** ***** won't ***** *** **** *******
**** *** **** ** ****** ** varying ******** **********, ******* ****** *** the **** **** ******'* *********** ****** over ****, *** *** ***** ** have * *** **** **********.
*’* **** *** *** ****** ***** have ******* * ********* ******** ‘** the ***’ ** ****. **** ** might **** *** ******** ** **** from *** **** *******, **** ******** taken ** *** **** *****, **** moments *****.
***** **** **** ****** ********* *** more?
******, *'* *** ******* ***** **** from *** ******.
*******, **** **** ******** ***** ***** to ** ******. ******** ******** *** be ********** *** ********** ** ***** businesses. ************* *** ** ********** ** summon * ****** **** ****** ********* happens. ************** ** *** *** ****** could **** ****** ***.
******** ******** *** ** ********** *** approached ** ***** **********. ************* *** be ********** ** ****** * ****** unit ****** ********* *******...
***: **** ** *** ****** **** today ***’** **** **** **** ******* around, ******* *** *******.
***: ******** **’* *** ***** **** I’ve **** **** *****.
Cop: Maybe, but do me a favor and scram anyway, ok? We’re over our quota for people who look like you today.
** *** **** * *** ** face **** *** **** ** *** camera *** ** **** ** ( a **-****-*** ********* ****) **** * was * **-****-*** *****. * **** off ** ******* ************ *** *** fur ** ** **** *****-****** ****** demurely *** **** ** ******* ** and * ** ***** * **-****-*** woman. * ******* ** ******** **** and ***** ** **** “*****” *** nope. *’* * ****. ** **** disagrees **** *** ****** ** *** way ! ** **** * **** way ** **.
******* *** ****** *** **** *** a ********* **** ** ******** ***** to *** *** **** **** ** Las ***** *** ****** ******* *** goatee *** * ***** ***** ***********'* landing *****.
** *** *** ******** **** **** experiment **** $** ** ******* **** faces **** * *****. ***** * back ** *** ******** *********** -
** ***** ** * *** * 30 **** ** * ***** = 720 ***** *** *****
*** ***** / * **** ******** = ** ********
** * $** = $*,*** *** month ** *******
*,*** ***** * ** = ***,*** (non-unique) ***** ********
***,*** / $*, *** = $**.** per **** *******
*** **** **** ********* ** *** ask **-*****-**** *** ********* ** ********. No ****** ****** ** ****** **** the *****...
**** **** ** *********... ** ** actually $.** *** **** *******. ** 45.83/capture *** **** ***** **** ** be ***+
** *** **** **** ****** ***********, partner ** **** *** *** **** providers *** **** ** **** **** everyday **** **** *** ***** * text. ******* **** ***** ** ******* attached ** **** *******, ********, ******, ATT *******.
***** **** ******** **** * **** facial *********** ******* ** ****** * Multi-factor ************** ***, *** ** *** into *****, ******, **** ******** *** presto. ******* ***** ****** *********** ******** everyone ****** **.
*** **** **** ******* ********, *** poke **** **** ** ***** **** 33mp ***********, ****! *** *** **** why ****** *** **** *** ***, TMI! (***'** ******* **!)
** *** *** ** **** **** technology, **** *** **** **** *** bad. ***** **** **********. ******* ** can ******* ***** * *** ****** walking ******* **. :* #**********