BBC Featured Deep Learning Face Recognition Analyzed (Digital Barriers)

*** **'* ******* ***********, BBC, ******** ******** ******* Barriers (**** ***** ** the **) ** * segment ************ **** *********** technology. *** ** ******* showed******* ********' ******** ********* **** ** ******* public ****** *** *********** of "********* *********" ********.

******* ******** ****** *** use ** **** ****** networks ** ********* *** capabilities ** ***** ******** Face *******, ******** **** to ******* *** ****** of *********** *** ********.

**** ****** ******** *** SmartVis *******, ***** ** conversations **** ******* ********, and ******** ***** *** company **** *** ******* has **** ************, *** where *********** ***** ***** in ****** ***********.

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

SmartVis ********

********** ******* ********' ***** analytics ******* ****.******** ****** *** ******-*********** *********, which ** ***** ** technology ******* **************** **** **************** ****. ***** **** acquisition, *** ******* **** they **** **-********** *** majority ** *** ********, including *********** * **** learning ***** ** *** system ** ****** ****** faces ** ***-******* **********.

******** **** ** * server-based ******, ********* ******* from ********* ******* ** real ****, *** ********** alerts ** **** ***** on ************* ******** *** matching (** *** ********) a **** ******* * database ** ******** *****.

Deep ******** ***********

******* ******** ****** **** have **** * **** learning ******** ** ***** a ****** ******* ** recognize ***** ** ******** distinctive ******** **** ************* various *****. **** ** in ******** ** *********** systems ***** ********* **** to ******* ********** *** distances ******* ******* ********** of * **** (*.*.: spacing ******* ****, ******** between **** *** ****, etc.).

*** **** ******** ******** allows **** ** **** a *****, ** * lack ** * ***** faster ** ******** ** previous ********. **** **** enables ****** ******** ***** when *** **** ** the **** ** ************* different **** *** *****(*) used ** ****** ** in *** ********.

* ***** **** ** sampled ****** ******* ****** of *****, ******* ** from **** * ****** "best ****", ***** ******* Barriers ****** **** *********** to ********* ******** ** the ******, *** *** speed ** ********, ** the ****** ***** **** multiple ***** ** *** face, ********** ********* **** data *** *** ******** algorithm ** *******.

******* ******** ****** ***** capabilities ***** *** ******* well ****** *** "***-*********" checking, ***** * ****** may *** ** ***** a ****** *********** ****** is ** ***, *** they *** *** ***** to "******" **** *** system ** ******* ******** at * ****** ** passing ******* * **** obvious ***** *****.

Field ** **** **************

*** ********* ***** * minimum ** ** ****** between *** **** (~*** PPF / ~*** ***) for ******** ***********, *** will *** ******** *********** improvements ** ** ** pixels ******* *** ****, with ****** ******* (*.*.: 80 ******) *** ******** any ********** ******* ** accuracy.

** ** * ***** in *** ***** ** view *** ** ************** analyzed.

***** ***** ** ** theoretical ******* ********** *********, the * **** ***** and ***** ************ ********* lead ** ********* ***** 1080p *******.

Enrolling *****

***** *** ** ******** in *** ******** **** static ****** ******** ("********"), from * ****** ******** to * **, ** from ** **** ***** segments. *******, ******** *****/****** of *** **** *** captured *** ******* ******** in ******** *** ******/**** later.

Server ************

******** **** **** ** an *****/******* ***** ******** (i5 ** ** *********), and **** **** ** accelerate *** **** ****** network *********. ******* **** are****** *** **** ******** cards.

***** ****** ************ **** vary ***** ** *** number ** ********, **** of *** ******** ***** database, *** *****/****** ***** desired ** *** ********. An ******* ****** **** a ****** *** **** card ** ********* *** 4 *******, **** * database ** ~*,*** ***** and ****** ***** ******* in ****-**** (Additional **** *** ** added ** ****** **** streams **************, *** *** and *** ************ *** increase *** ***** ********* or ************ **** **** high ********** ** ******.

*******

***** ****** **** ~$*,***-$*,*** per *******/******, ********* ********* on *** **** ** the ****** ******** *** customer ***** ** ********. The $*,*** ***** ** most ******, ********* ** Digital ********, *** ********* running ********** ** *** range ** ******* ******* to ~*,*** *****.

Sales *******

**** **** *******************, ******* ******** ***** the ******** ********* ******* standard ******** ********** ******** globally.

Software - **** ******** *** ** ********

***** ******** **** **** include * "**********" **** interface, ********* ** ******* Barriers, **** ********* *** the ******* **** ** an ****** **** ****** a *** ***** **** interface, ***** ***** ** a ***, ** **** other ***********-******** ********. ******* Barriers **** **** ************ with ***** **** ********* and *******, ** **** as **** **** *********, and *** **** ****** customers **** ****** ***********, if ******, *** ********** feeds. *** ******* ****** that *** ** *** variety ** ***** ******** base ***** ****** ** no "********" *******, *** that ***** ****** ****** some ****** ** ****** integration ** **** ***********.

*** ******* **** **** are ******* ** * new ******** ******* **** will **** **** ************ in *** *****-***** ******* to **** ** ********* to * ******* ******** base.

Upcoming ********

******* ******** **** **** the ******* ** ********* non-face ******* ** ** development *** ****** **** logo-tracking. **** ** **** intended ** ***** ** an ********** **** * face, *** **** ** to ***** ****** ** track **** *********** ** things **** *********** ** TV *****/******** ******, ** clothing **** ** ******, etc.

Face *********** **********

**** *********** ******* **** faced **** ********** **** the *****. **** *** technical: ************ *** *********** much ****** **** ******* surveillance ****** ******* *****, requirements *** ******* ********* of *******, *********** ** deal **** **** ***** at ****. ***** ****** are ******* ******** **** citizens, ** ****** ****** like **** ** ******* obscuring ***** *** ********** the ******* **** ******* a ***** **** ** analyze. *******, **** *** made *** ******* ****** to ******, *** ********** for ******** **** * person ** * ********* will ******** ** ******** if **** ** ****** in *****.

**** *** *** ****** any **** *********** *******, primarily *** *** ******* outlined *****, *** ****** comment ** *** ******** Face *** ******* ** real-world *********** ** ***** systems, ** ** *** own ************ *****.

Other **** *********** *********

******* ******** ** *** alone ** *** **** recognition ******** *****. ********* such **********,*****,******* **** ********* ******** face *********** ************ ** core ** ***** *********. Additionally,******** ********* **** **** been ********* **** *********** capabilities ********.

** *** **** *** particular ******* **** * given **** *********** *******, please ***** * ******* detailing **** **********.