Herta Facial Recognition Plus Masks Tested

By: Rob Kilpatrick, Published on Aug 19, 2020

Masks increase face recognition errors, but facial recognition developer Herta is claiming their algorithm gives priority to the upper part of the face, offering accurate recognition even with masks on.

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We tested Herta's BioSurveillance facial recognition for over a month. In this report, we examine:

  • How do masks impact facial recognition confidence?
  • Do masks increase false positives and negatives?
  • How do masks impact recognition at harsh angles or in poor lighting?
  • How does recognition without masks compare to wearing them?
  • How simple is Herta's UI to operate?

Executive *******

** *** *****, ***** significantly ******* *****'* ******** confidence (**** **-** ** 20-40) *** *** *** result ** *** ***** positives ****** *** ****** of * ***** ** testing **** * ********* of ****** *** ********.

*******, ******** ********** ********* requires ***** *** *****, as ******* ** *** high (~**+) ******** ** missed ********** ** ***** subjects, ***** ******* ** too *** (~** *** lower) ******** ** ***** positives.

************, **** ***** **, increasing ******** (>**°) ** angle ** ********* ** reducing ***** ****** (****** color *** ***** ** with ** **) ******** in **** ****** *********** rates *** ** *** recommended.

******* *****, *********** *** solid **** ******** ********** recognized ** **** ***** even ** ***** ****** (up ** **° **********) and ** *** ***** and ** ** ******** angles (Herta *** *** ****** from *********** ******* ** false ********** ** ********* objects **** ** ***** facial *********** ********* ** have ******, **** *********************.

Relatively ***** ****** ****

** *** *****, ***** observed ******* ******* ****** subjects, ********* **** *********, employees *** ******** ** nearby **********, ** **** as ******* ***** ** surveillance ******* ***** **** various ******* ** *** internet.

*******, ***** ********** *** relatively ***** ******** ** many ************ **** *** is ****** ** ** implemented, **** ** ******* with ******* ******* ********, casinos **** ********* ** visitors, *** **** ******* with **** ** ********* of ****** ********. ******* in ****** *********** *** vary, **** ***** *********** issues **********.

Masks ************* ****** **********

**** * ****** ******* a **** ** ********, confidence ***** ************* **** ~80-90 ** ~**-**.

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Accurate *********** **** *****

******* **** ******* ********* in **********, *** ******** did *** ******* *** false ********* (*** ******* mistaken *** *******) ********** a ***** ** *******, with * ********* ** over *** ******** ** varying ************.

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Missed ********** **** *****

*******, ** ***** **** Herta ****** ** ********* known ******** ******* ***** when ***** ***** *********** threshold ** **.

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** ***** **** ******** the ********* ** ** increased *** ****** ** recognitions ** ****** ******* masks ***** *** ****** any ***** ************. ***** below **** ********* ********** false *********, **** ******** mistakenly ********** ** ***** on *** *********.

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Standard / ***-**** ***********

****** ~* ***** ** testing ***** **** ** false ************ ***** ****** suggested ********** ** **, this ******** * ******* of ****** *** ****** in * ********** ******, warehouse, *** ******* ******* lot **** ******** ** subjects ******* *******.

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Subjects ********** **** **** ********** ** **** *****

** * **** ***** setting ******** **** ********** with * ********** ** ~80 - **, **** confidence ******* ** ~** with ****** ******** ******* of ~**' *** ********* of ~**(*******).

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******** **** ********** *********** at * ** (******) angle **** ~** **** confidence ** **** *****.

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Reduced ********** **** **

********** ******* ** ~** in * **** ***** (~0.02 ***) **** **, resulting ** ************ ** ~8' ******** ****** **** ~22° ** ******** ***** the *********** ** ********** threshold.

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******* ** **° ******** in ***** ********** **** the ** ********* *** missed ************ ******** **** at *** ******** ******* of ~*' *** ********* of ~**°.

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Reduced ********** ** *** ***** ***** (~* ***)

********** ** ************ *** reduced ** * *** light ***** ** ~** points ********* ** **** recognitions ** ***** ******** heights ** ~*' *** downtilts ** ~**° **** walking ****** *** ******.

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Confidence **** ** *** *****

********** ******* ** ~** when *********** ***** ** a *** *****. **** combined **** *****, **** regularly *** ** ****** recognitions.

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Sunglasses / **** ******

******** ******* ********** ** the ***** **** ********** at ~** ***** ********** drop **** * **** in **** *****.

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******* * *** ** the ***** ******** ** ~10 - ** ********** loss *** ***** ******* recognition ** ****** ******** heights ** ~**' *** downtilts ** ~**°.

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*******, * *********** ** sunglasses *** **** ******* confidence ** ~**, ********* in ****** ************ ***** Herta ******* **********.

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**********

***** ** *** ****** is ****** **** *********, adding * ****** ** the ****** *** ** done ** ********* * detection ** *** ******** face ** ********* ** image (******* ** * passport *****) ** *** subject ** *** ******.

** *** ***** **** to *** ****** ** the ****** ** **** a ******** ********, *********** needs ** ** ****.

Simple ** **********

****** ******* ** ***** that *** ** ** Herta *** ****** ** navigate. ****** ******* *** be **** ** *** main ******, ** **** as ******* ********** *** recognitions.

No ***** ********* / *** ********

**** * ****** ** recognized ***** ** ** video ** *** ***** available, **** * ***** image ** *** ****** and *****.

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***** ** **** **** to ** ****** ** a *** ***** *** such ** ********* ***** below, ****** *** ********** as **** ** *** video **** *********** **** the ***********.

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*******

***** *************** *** ** MSRP ** *,*** € / ~$*,*** *** *** channel, ***** ******** * database **** ** ** to *,*** ********. ********* database ***** *** ********* as ********** ********. **** MSRP ** ********** ** slightly ***** **** ***** facial *********** ********* ** have ******, **** ** Anyvision (~$*,*** *** ****). However, ***** ********** **** MSRP ******* ** **** a *********, ** **** contracts *** ****** *** project, ********* ********* ** additional ********.

**** ******* **** **** not ******* ****** ******** needed, ****** ******* $*,***+, depending ** ****. * dedicated *** ** ********, but ***** ************ ****** by ****** *****. *** four *******, * *** 1660 *** ** ****, an ********** $***-*** ***.

Versions ****

*** ********* ******** **** used ****** *******.

  • *****: **.*.**

Related: **** ********* *******

***** ** *** ***** full ****** *********** ****** we **** ****** ******** accurate ********* **** *****, though ** ****** **** developers ** **** ******* claims *** ** ********** mask *** ****** *** COVID-19 ********.

*******, ** **** **** tested**** ********* *********, ********* wearing *****, *** ******* ********* claiming **** **** *********, including:

Comments (3)

** *** ********* ** about *,*** € ********* or *** ****?

***, **** ****, *** should **** ***** ***** for *** *********** ***** of *** *********, *.*. what *** *** **** getting ** **** ********* value, ** *** ** vendor ***** **** **** based ** ***** ******** studies. ***** **** ******** was **** *** *******, the ***** ***** ** reported ***'* **** ****. Somewhat ********* ** *** scenario, *** ****** ******** would ****** *** ****** FAR ** ** ***** of *** *.**% (*.*. false ******** ** * out **** *****) *** access ******* *** ****** than **** ** **** up ******** ***** ******* at * ****** ** the ************ *** ****. Thus ** *** **** a ******** ** *** 10K ******, **** *** algorithm ********* ****** ** in *** ***** ** 0.01%/10000 = ***-* (****, slightly ****** **** ****, but ****'* * ****** estimate).

***** ****** *** *********. There's * **% ******** maintenance ****** *** ****, optional. ******** ******** *** not ******** ******* *** maintenance ******.

********* ***, ** **** gotten ** **** ******** vendors, ********* *****. *******, we ***'* *** **** faith ** ** ** all. ******* ***** ********** are ********* ***** *** NIST *******, ***** **** much ****** ********** ****** than ********* ******** ** surveillance *******. *** *******, the **** ****-** ******* is ****** ******* ******, so *** ***** *** foot ****** *** *** uncommon, *** ******** *** forced ** **** ** the ******, ***** ** much ****** ** ******* in *** ****.

******* * ******* ***** from **** *******:

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** * *******, ****** high ******* ************ *****:

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*** ******* ** ***** resolution (**-** ****** ****** the **** ******* ** 200) *** ****** *** harsher.

******* **** ******** *'** seen ***'* ******* ***** realities, ***** ******* ********* using **** *** * rough **** **** **** a ****** ****** ****.

****** *** *** ****** Ethan! ** *** *** into **** ******* *** will *** **** *** FRR ** ********* * function ** *** ******** (i.e. *** ****** **** the *** ** *** will **** **** *** false *******, *** *** images **** *** *** at *** ****** **** have **** ***** *******). However, ** *** *** the ********* ** *** 20 **** (*** * good ********* ** *****:)) the ***** ****** **** will ** *** **** regardless ** ***** *******. NIST ****** *** **** in **** ** ***** studies (*** ********* ** the ********* **. *** is *********** ** *** NIST ****** ** ***** grey ***** ********** *** curves *** ********* *********, which ******* ****** ** vertical - **** *** perfect, *** **** **** at ***** **** ****** the **** ***** ** magnitude **** **** ******* tell ***).

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