Paravision AI Face Recognition Company Profile

By Sean Patton, Published Nov 01, 2019, 09:44am EDT (Info+)

Paravision (formerly EverAI) toutes being #1 in NIST testing and "America's only mission-critical face recognition" provider.

IPVM Image

** ***** ** ********** ** ****** understand ***** ********, **-**-******, *** ** examine ***** ********* ***** ******* ** NIST **** *********** ***********.

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

  • *** ** **********?
  • **** ** **********'* **-**-******?
  • *** ** **********'* **** *********** *********?
  • *** **** ********** **** **** **** results?
  • **** ******** **** ***** ********* *** on?
  • *** *** **********'* *** ********?
  • *** **** ********** ******* ** *********?

Paravision ********

IPVM Image******* ** **** ** *** *********, Paravision ** **** ***** **** ****. ** *** ******* ** ** Chief ******* ******* ** ****, *** became *** ** ****. **** *** a ********** ** ******** **** *********, product **********, *** ******** ***********. ********** reports **** ** *********, **** ~**% deep ******** ***********.********** ********* **** ******** **** ** * ***** **** consumer-facing ********* ** ********** *** ************.

********** **** **** **** ****** $** million ** *******, **** ******** *$** ******* ****** * ***** ** 2017******** ********. ********** **** ***** **** *** not ********* ******* ** ***** **** funds, **** *** ****** ** ***** another ***** ** ******* ** *** future.

OEM **** *********** *** ******** ************

********** ** ** *** ******** ** AI **** ***********. **** **** **** do *** **** ********** ******* ******* direct ** ***-***** *** ** **** customized ******* ****** ** **** ** Government ********. ******* ** ***** ***** on ********* *** ********, ********** **** they **** "******** ******* **********" ***** on *** ******** **** *** *****.

*** ** ************* ********, ********** **** not ******* * **** ** ***** OEM ********, *******,******** **(****-**-*-********** ****** *******) **** **** **** OEM ********** **** ***********.

Critical *********** *****

********** ********** **** **** ********* ***** face *********** ******, ******** ** ******, fast-performing ****** *** *** ** **** alert *******-******** ************.

NIST ********* ********

**********'* ******* ********* ** ******* ****** **** *********** ********, ******** ** ** "****** #* Rank *** **** ***********". *******, ** many ** *** *********** *****, ********** is *** #* (*.*. ******* ****, 2019 ******* ***** **** ********** ** #3 ** *:* *******). **** ******** new ******* ************* **** *** *****, so ***** *******, *** *** ********** will ****** **********.

IPVM Image

************, **** ** ******** ***********, *** top ** ******* *** ****** ******-***** percentages ** **** *****

********** **** **** **** *** ********* that ***** ** *** *** ** the **** ***** ********* **** ***** unless **** **** ********** *** *******, and **** ***** ** **** ******* as * *** ** *** ** a ******* ********* **** ********* *** partners. **** **** **** ***** ******** "across *** **** ***** ** *****" is ***** ****, *** ********, ****** that **** * ********* **** ****** in *** *** ** ****** *** NIST *****: **********,**********, *******.

NIST ********* ***********

********** **** **** **** **** ***** commercially ********* ********** ** ****, *** said **** ***** ** ***** **** results (** *********** *******, ****** *****, and ******** ****) **** ******* **** vendors *** ********** ***-********** **********. ***-********** analytics *** **** ********** ****** ******* layers ***** ******* **** ********** *** decreased *****, *** ****** ** ****** accuracy **** ************ ********* ******.

************, **** **** ***** **** **** a **** *** ** * *********, algorithms **** ******* ** **% ** NIST ***** **** ***** ~**% ** production. ******* ********* ** ***** *******, this ** **** ****** **** ***** public ******** (*.*.********,***** ** *** ****), ***** *** ****** ** * 99% ******** ** *******, *** **% accuracy ** **********.

Cybersecurity ******* *****

***** ****** ***** **** *********** ** built ** ********-******** ********** (*.*.**********,********), **** ***** *** ***** ******* about *** ****** ******* ************ ** training *******, ****** ************* ********. **** disclosed **** **** ** *** *** publically ********* ********, ***** ** *** common ** *** ** ***** ********* market, *** **** **** **** *** private ******** **** ***** ***-** ****** for ********.

********** ******* ** ******** *************** *********** ******* ********* ******** **** ** ********* (*********, Amazon, *****), *** ***** **** ********-**-********* is *** ******* **** *** ** protect ***** ********* *** ********, *** is **** *** **** ** *** share ***** ******* ****.

**** *** *** ******** *** ********** technical ******* **** ***** **** ***** system **** ****** ** ** ***********. Ultimately * ****** ******* ** ****** Paravision ***** ****** * *******'* ****** in *** ***** ** ********.

Broad ******** *******

********** **** **** *** *** **** recognition ****** ** *** ******** ************* (e.g. ***, ***, *** ***** **** devices) ***** ****** **** ***** ***** be **** ******** ** ********** **** depending ** *** ********** ** *** hardware ********. **** **** ***** **** recognition ***** ** ** ******** ** a ******** ******* ** ******** *** as * ****-******* ****** ***. **** has *** ****** ********** **** ***********.

**** ***** **** ** *** ** the ******* *************** ******* ***** **** recognition *** ***** ***** ********** ********* (Microsoft, ******), ***** *** *** **** to ** ********* ** **-******* ********** or ******** ** *******.

Engineering *****

********** ********** **** ********** *** ********* and ******* ***** ********* ******* ** AI/Neural ******* ******** ** *** ******* focus ***** ******* ****, *** *** * ********** ******** software *********** ** ******, ********, *** multiple ******* ****** ********. **** ***** this *** ******* **** ** **** a **** *********** *********** **** ** 10 ******* ******** ********* **** * PhDs.

**** **** ***** **** ******* ** experimentation **** ****** ******* ***************, ***** size *** ***********, *** *** ********* integration/optimizations ******** **** ********* ******** *********.

Compared ** *********

********* *** ********** **** ******** **-**-****** strategies. ********** ***** ** *** ******** and ***** ******** ** ** *** channel, ***** ********* ******** (*** ****)* **** ****** ** ******** ******** salespeople ***** ******** ********* ********** *********. Additionally, ********* *** ** ***-**** ******** interface **** ******* ************, ***** ********** is ********* ********* * **** *********** platform *** *** ******** ** ***** into ***** *** ********.

Comments (1)

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Robert Wren Gordon

| IPVMU Certified | 05/11/21 05:32pm

Update: Paravision raised $23 million:

Paravision Raises $23m from HID + VCs

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