US Intelligence Agencies Research On Long-Range Biometrics Examined

By Zach Segal, Published Nov 11, 2020, 08:36am EST

Identifying people at close range is increasingly accurate but what about identifying people at 100 or 500 meters or even 1 kilometer? This is far more difficult.

The US government is investing in developing these capabilities.

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IPVM researched and spoke with the office of the Director of National Intelligence's IARPA (Intelligence Advanced Research Projects Activity) group on what they want to achieve.

Executive *******

***** ** ********* *********** and ************** ** ******** and ******* ************** ** ****** ********* that **** ** ********* of ** ** * km **** ******** ******/***** of ** ** **°. IARPA ***** ** ********* data, *******, ************, *** testing *** ***** ** create *** ********* **** the **** * *****. They ****** ** ** combine ******** ********** **** face *** ****, *** are **** ** *** solution.

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**** ***** **** ***** Proposers' ***, ***** ********* participants *** ***** **** about *** *******, **** each ***** *** *************, and ***** ********, ***** more *********** ** *** BRIAR ******* *** *** goals.

The ********* ** ******** *****:

******: *** ****** ******** ************* *** *** BRIAR *** *** **** posted, ** ********** ******* may ****** ********* *** funding.

IARPA ********

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******* * ******** ******** of ********* ****** ****** of *** ******** ** National ************ **** **** say ******* ** **** long **** ********:

[******] ** ****-****/****-****** ******** programs **** **** *** potential ** ******* *** nation **** ** ************ intelligence *********.

***** **** **** ******* funding *** “*****[***] *** best ***** ** **** on *** ********” ** create ************* ********.

BRIAR ********

********* *********** *** ************** at ******** *** ***** (BRIAR)** * ******* ** expand ***********/************** ** ******** cameras ** ********* ****** by************ ******** ******** ******** Activity (*****). **********'* **** *** ***********/************** ******** **** can ** **** **** a *****, ****** ****** on *** ** * multi-story ********, *** **** a ******** ** *** ground, ******* ***** ****. They ******* * ***** of ***-***** (***-*,*** ****) and ** ***** ** 20°-**°.

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***** ***** ** ***-**-*** system **** ***** *****-**** data, ** ******** ******** and *** * *****-****** version **** *** ** run ** *** ****. They ***** **** **** Re-Id ************, ** ******* that *** ******** *** be **-********** **** * clear, ************ ***** ** capturable.*** ******* ** ******* on *******-***** **********.***** **** **** **** they ********** ******** ***** being **** ** *** project **** ***** ************ communication *** ********** ********:

***** *********** ******** ******** teams **** ** ************ at *** ********* ** the *******. ** ********, the ***** ******* **** have * ********* *** independent **** *** ********** team **** **** ******** the ******** *** ******** deliverables ******* ******* *******, objectives, *** *****. *** BRIAR ******* ******* **** oversee *** ******* *** facilitate ************** *** ************** between ***** *** **** stakeholders ******* *** **********.

***** **** **** **** do *** **** *** specific ******* ** **** for *** ***** **********, but *********** ************ ** various ******** *** ************ use-cases:

***** ******* *** ******** research, ******* *** ********** to ****** *** ************ and ************ ********** *** Intelligence ********* (**) *** U.S. **********. ***** **** not **** ** *********** mission. *******, *** ***** program **** ****** ** contribute ** ******** ******** that ******* ****************, ********** of ******** **************, ******** force **********, *** ****** security.

******:*** ***** *** *** been ********* ***** *** ***** by ******** **** *** the ******* ***** ** funding. **** **** ****** the ***** *** ****** up ** ***** *** confirmed *** ******** ** made.

IARPA ******** ********

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***** ***** ** ******* the ************* ****** **** *** focused ********. **** **** to ****** *********** **** sets **** *** *******, come **** ********** ***********, and ******* ****** ***** from ******** ******* ** different ********* *** ******, including **** ******. ***** is **** ********** ** funding **** ********** ******* and ******** ******** **** sets **** ************ *** harness. ***** **** **** they ***** *** ******** how **** ******* **** be *********** ** ** what ******. **** **** on ******* ******** *** are “******** ** ******** approach” ** **** ** the ********* ** “*********, unique, *** *********”. **** hypothesize *** ******** **** be * ****** ** gait, ****, *** ***** biometrics:

*** *****, ********, ************, or ***** ******* ** a ***** **** (********* face)

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Challenges ** ********

**********, ***** *******, *****/*****, and **** ** **** are *** ************ ************** ** ****** and ********. ** * distance, ********** ****** ****** to ** *********.********* ******* ********* *** not ******** *** ***** require ****** ******** ** prior ******.

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***** ******* **** ****** the ***** ** *********** that *** ** ****. This ** **** *********** for ********** **** *** smaller *******, **** **** recognition.********* ******** ***** *** pitch ** ********* ** existing **********, ****** **** are *** ******** *** harsh ******** ****** ******** by ****** ** **** camera *********. *******, ***** believes ******** **** ** either *** **** *******, unrealistic, ** *********. **** plan ** ******** *** funding ***** *** ******** to ******** ****.

3 ****** **** * *****

*** ******* ** ****** down **** * ******, ******** **** ****** mid-range ** ******-*****, **** moving ****-**** ** ****-***** or ****-*****, *** ******* combining *** *** *** adding **** *********.

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Phase *:** *** ***** ** months, ***** ******* * 50% **** *** **% face ************** ******** **** 1% ***** ************** ** a *** ****** *********. That ***** **% ** 70% ** ******* ******* will ***** ****** *** 99% ** ****** *** are *** ** *** 375 ****** ********* **** not *********** ***** ******. They **** ** ***** images ***** **** *-**** (1700 ****) ** ****** with *°- **°******** ****** ** ********* conditions (*.*. ********** *** subject ********). ***** ******* video ********** ** ****** than ****-**** **** $**,*** of ********.

Phase *: ** *** ****** ** months, ***** ******* * 20% **** *** **% face **** ************** **** with *% ***** ************** on * *** ****** watchlist. **** ***** **% or **% ** ******* targets **** ***** ****** and **% ** ****** who *** *** ** the *** ****** ********* will *** *********** ***** alerts. **** **** ** using ****** ***** **** 1-1000m (**** ****) ** closer **** *°- **° ******** ****** ** realistic ********** *** ****-**** processing **** $**,*** ** hardware.

Phase *: ** *** ***** ** months, ***** ******* * 20% **** *** **% face **** ************** **** with .*% ***** ************** on * *,*** ****** watchlist. **** ***** **% or **% ** ******* targets **** ***** ****** and **.*% ** ****** who *** *** ** the *,*** ****** ********* will *** *********** ***** alerts. **** **** ** using ****** ***** **** 1-1000m (**** ****) **** 0°- **°******** ****** ** ********* conditions **** ****-**** *** edge ********** (***** ******** requirements *** **** *********). IARPA *** *** ******* hardware ***** *** **** phase.

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Previous *********

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***** ******** *************** *** **** *********** as * **** ******* that **** **** ** emulate **** *****. ******** ******* *** ********* **** ** ******* face *********** ******** ***** ** *** ************* **** *** ***** were ******* ** ********** surpassed ******* ***** ************. Top **** *********** ********** in**** *********** **** ********** **%****** *** ******* ** 2014 ** **.*% ** the **** ****** ******* this ****. **** *********** and ******** *************** ******** *** ** Michigan ********* **** **** ** believes * **** ** data *** ******* *** been ******* **** *********** back, *** **** ** believes ***** **** ****** accuracy ********* ******* ** face ***********. ** ********** that ** ***** *** no *** ***** ******* face *********** ***** ******* the ******** ** *** achieved ***** *** ******* similar ******** **** ***** in ****/***** **** **********.

Companies ********

***** *** ***** ******* has *** ********** *******,******* ****** **** ************* ****** ** *********** and **** ****** ************, so ****** *** ******** them ** ********* ** "team" ****** *** *******.

**** ************* **** ******* claims, *********:

  • ** *********, ******** ***** *********** and ********** **********IPVM Image
  • ***** ***********, **** **** **** can ** **** *********** at ********* ** * km
  • ****** ********, *** **** **** have ****** ** ********* systems *** ******
  • ******* *******, ***** ****** ** have ********* **-** **********
  • ****, *** ***** ****** experience *** ********* ******-***** movement ****.

Comments (8)

***** **** **** **** do *** **** *** specific ******* ** **** for *** ***** **********

**** ******* ** ***** other **** ****** ************** and ************ ** ***********? They ****'* ******* ******** people *** **** * watch **** **** * drone ** ***** ** hand *** *******. ****** cookies ** **** **** of ******** *** * Hellfire ******* ;-)

Agree
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Informative
Unhelpful
Funny: 5

****** ************** *** ************ or ***********

***** *** *** **** different ****** *** *** technology ***** ** **** in * *** ** different ****. *** *** of **** ********** ***** be ****** ***** ** access ******* ** ******** face *********** ** ** integrated **** ******** ******* that *** ** *** high ** ** *** steep ** ***** *** face ***********. ******* *** could ** *********** * city **** ****** **** are **** ****** ** be *******. ***, * third *** ***** ** turning ****** **** ********* devices **** ********* ******** that ****** * **** for * ******.

Agree
Disagree
Informative: 1
Unhelpful
Funny

********* ** ***** ********* before **** ****** * threat

Agree
Disagree
Informative
Unhelpful
Funny

*** ******** ********** *******, Campbell **

Agree
Disagree
Informative
Unhelpful
Funny

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**** *** ******** ** be *******, *** * prediction.

Agree: 1
Disagree
Informative
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Funny

**... * ****** **** would **** **** **** if ***** ** ******* manufacturers *** ****.

**. **** *****, **** this ** ******** *** someone **** ***** ******** tendencies ***** ******* ** this "****", **** ***** stop **** **** *** targeting * ******* *********** for ******** ******.

*** *** * ******* this ******* * ** on ******* ************ ****** and * ********** *** the ******* ** ******* manufacturers *** *** **** in *** *** ******** in * ******* **** this. **** *** ****** human ****** ********* ******* someone **** ***** "****" improperly... ** * *** what ** *** ********** here.

Agree
Disagree
Informative
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Funny

**** *** ****** ***** rights ********* ******* ******* uses ***** "****" **********... so * *** **** is *** ********** ****.

**** ** * **** point, *** ***** *** a *** ***********.

*.****** (** *** *********) detection ************ ********** **************. ******** them ***** *** *** government ** ********** **** group ** *** ******** a **** **** ** used **********, ** ** creating * **** **** can **** ** **** improperly ***** ********* ** what *** **** ** being **** ***.

*. ************* **** **** the *** ********** ** using ************ ********** ** Xinjiang ** ******* *** Uyghur ********. **** *** selling ***** ***** **** the ********* **** **** will ****** *** ***** ****** violations.

*. **** ******* ****'* started ***. ***** *** been ** ********** ******* so ***** *****'* **** any **** ** *******. IPVM **** ****** *** project ** *** *** it ********, *** ** successful, *** *** ********** is ****.

**** ***** ****, *********** and ************** ********* *** capable ** ***** *******, and ** ** ********* for ************* ** ****** they *** ***** ***-***** not ** ***** ***** technology. ***** *** ********* no ***** ************ ********* how **** ********** ***** be ****, ********* ************* ********** #* *******, self-targeting *******.

Agree
Disagree
Informative
Unhelpful
Funny

******:*** ***** *** *** been ********* ***** *** ***** by ******** **** *** the ******* ***** ** funding. **** **** ****** the ***** *** ****** up ** ***** *** confirmed *** ******** ** made.

Agree
Disagree
Informative
Unhelpful
Funny
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