TVT / InVid Facial Recognition Tested

By Rob Kilpatrick, Published Mar 25, 2020, 11:10am EDT

Facial recognition is frequently sold for thousands of dollars per channel but some China manufacturers are offering full facial recognition systems for under a thousand dollars.

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But how well do such low-cost facial recognition systems work?

We bought TVT OEM InVid's facial recognition system to see where it worked and where it did not, including:

  • Does it miss people walking through the scene?
  • Does it misidentify people?
  • Does confidence drop in different scenarios?
  • Does it recognize inanimate objects as faces?
  • What PPF is required for proper recognition?

For our full report on the face rec camera used in this test: TVT / InVid White Light Camera Tested Vs Hikvision ColorVu

Small ********** ******

**** **** **** **** was ********* **** * small ********** *** ********* size *** ** *********** restrictions. ********* **** *** <10 *** ***** ******** observed **** **** ***. Performance ** ****** *********** will ****** ********.

Executive *******

*****'* ****** *********** ******/**** offered ***** *********** ** well *** ****** ** our **** ** * very ***** ********** *** may ** * ********** option *** ***** **** tightly **********, ****** ****** of ****.

*******, *** **** *********** scenes ***** ******** ** less ********** (*** *****, WDR, ** **** ****** of ****), ** ***** hats, **********, *** ***** cannot ** **********, ***** is ****** ** ****** from ******** ******.

************, *****'* **** *** requires ***** ******* *** does *** **** **** third *******. ** *** positive ****, ***** ****** are ****** *********** *** face *** *******, ~$*** or ****. ** *** negative ****, *********** ******** **** ***********, **** ** *********.

Key ********

***** ****** *********** *** the ********* *********:

  • ***** *********** ** **** Light:***** ****** *********** ********* well ** *** **** light ******* (~*****), ********* faces ** ****** ******* directly ****** *** ****** even ** ****** ******** heights ** ~**' *** downtilts ** ~**°.
  • *** *** ******** *** Recognition:***** **** *********** ******** and ********** ***** ** ~94 ***, ***** **** several *********** **** *********** systems ***** ******** ~*** PPF *** ****** ***********.
  • ****** ****** ** ****** Individually ** ****:****** * ****** ** a **** ** ****** and *** ** **** from *** *** ** taking * ******* ** them ** ** ****** in **** *** ********.

*******, ***** **** ******* negatives:

  • **** **** ***********:*********** ** **** ****** (~0.02lx) *** **** *** to *** ***** ***** LED ************ ******** ***** in *** ***** ** view, ***** ****** ******** misses ** ********** ******* dropping ** ~**% **** faces **** ******** *** recognized.
  • **** *********** ******* **** Accessories:********** ******* ************* (~**%) when ****** ****** ******* the ***** ******* **********. Wearing **** ********** *** a *** ******** ** complete ******.
  • ** ********* **** ***** Half ** **** *******:***** ****** ** ****** people ******* ******* *** scene **** *** ****** half ** ***** **** covered, **** ** ******* wearing * ******* ****.
  • **** *** ***********:********** ******* ~**% **** subjects **** ******** *******, such ** ******* **** glass *****/*******.
  • ** ******** *********:******* * ******* ** a ******* ** ** the ****** ******** * positive, **** ********** *****.

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

****** *******, *****'* ***, we ******* **** *** PN1A-16X16F *** ** ********* for ******* (** *********** by *****) *** ***'* first ********** *****, *** the ***** ****-**** *** their ***** "***** **********."

*******, ***** ******* **** models **** ** ****, we ***** ** ********* difference ** ***********. ************, InVid *** ******* ** any *********** ********** ******* the ***, *** **** us **** *** **** difference ******* *** *** was ********* ********.

Solid *********** ** **** *****

** *** *****, ***** performed **** ** **** light, ********* *** *********** faces **** ** ******* downtilts ** ~**°.

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Poor **** ***********

** *** **** ***** the ******* ***** ***** LED, ******** ****** ******** due ** ************ **** the ****** *** ****** to *** ****** ***.

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******* **, ************ ** reduced, **** ***** ********, but ********** *** ~**% lower **** **** *****, resulting ******** ******.

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****: ***** **** ******* suggested ** *********** ****** **** ***** but **** *** *** make * ********** ** performance ** *** *******.

Poor *********** ** *** *****

****** ******* ********** ******* ~30-40% ** * ******* scene **** ** *** entrance ** * *****, though *********** *** ***** possible ***** ******* ********.

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Low ********** *** ******** ****** ******* **** ***********

******** ******* ******* *** scene ******* ********** **** often ****** **** ** low ******** ******* (~*') and ******* ********* (~**°).

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********** ******* ** ~**% when ******* **********, ********* in ******** ***** *********.

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*******, ****** **** ********** missed **** ******* ******* the ***** ******* ********** and * ***.

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No *********** **** ***** **** *******

****** **** *** ********** at *** **** *** lower **** ** ***** face *******, *** ******* wearing ******** ****.

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Failed ******** *********

***** ***** ******** *********, producing * **** ********** false ******** ** *** picture ** * ******, near ***% **********.

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Lower *** ******** *** **********

** *** *****, ***** recognized ***** ** ~** PPF, ******* ***********'* **** **** **** recognition ********* ******** ********* ************ **** ******.

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

****** ** ********** ** the **** *** ** done **** *** *** and **** ******** *** to **** * ******* of *** ****** ** upload *** **** **** phone, ***** ******** ***********, and ****** ******/*****.

*******

*** ***** ****-****** ***** for~$*** ********* *** ***-************** ****** sells****** *** ~$*** ***.

Versions ****

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

  • ***** *** - **************: 4.3.0.0
  • ***** **** - ******: 1.4.2.30787B191012.N4I.UI(******).**

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