Dahua Emotion Analytics Tested

By Rob Kilpatrick, Published Dec 21, 2020, 11:02am EST

The advance of AI promises more sophisticated recognition. For example, Dahua markets the ability to distinguish between angry, calm, confused, disgusted, happy, sad, scared, and surprised.

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We tested the Dahua IPC-HDBW7442H-IPZ running these analytics, examining:

  • How accurate is emotion detection?
  • Does accuracy vary depending on emotion?
  • How does the angle of incident impact accuracy?
  • How does distance/PPF impact accuracy?
  • Does facial hair impact accuracy?
  • Do face coverings affect detection?

*******

*****'* ******* ********* **** frequent ********, ****** *** most ****** ************** *** 'calm' *** ****** *** had *******/************** *****, ***** is *** **** ****** state *** ******. ***** and ******** **** ******** most ** *** ****, while *****, *********, ***, scared, *** ********* ****** poorly.

**** ***** ******** ** overview ** *** *********** for **** ******** ***** offered:

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******* *** ****** ******** to ******** ******** *** time * **** ** detected, **** **** *******, facing ****, ** *** PPF, ***** **** *** tendency ** ******** ******** as "****" ** ***** instances, *** ******** *** appear ********, ***** **** subjects *** ****** ** be ************** **** ** the ****.

Best ******** ** **** ***/******* ***** (*** ***** *********** ******)

** *** *******, ** began **** * ****** scene, **** ***, ** a *** ***** ** incidence, **** ******** ****** the ****** ** ***** range ** ********* ******** factors **** ** ***** angles ** *** ***.

**** ** ***** **********, emotion ********* *** ****** inaccurate. *** **** *********** consistently ********** ******** **** Happy:

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*** **** (******** *** camera ********** ***** ** Calm ***** **** **********, discussed *****):

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*******, ***** *********** **** as *****, ***, *********, or ****** **** **** often ******** ** ****, or ********* *****.

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Accuracy ***** ** ******* ****** *** ***** ***

** ****** ** ********* greater **** ~**°, **** subjects **** ********** ** Calm, ********** ** ***** actual ****** **********.

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*** ****** **** ********** the ***** ** ********' heads ** **** ****** testing:

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*********, ** *** ****, subjects **** **** ********** as **** ** *****.

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Incorrect ************** **** **** ********

***** *** ****** ******** to ******** ******** *** time * **** ** detected, ** ********* ** classify **** **** **** of *** *******'* **** obscured. *** *******, **** partially ******* ** *********, the ****** ***** ********** the *******, *** **** as **** *** *****.

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

****** *******, ****** **** facial **** ********** * facial ******* **** ****** and ******* ****** ********** calm, ***** *** ****** with * ***** *** angry **** **** *** classified ** *****.

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

** *** *****, ** face *** **** ********** as *** ** *****, instead, **** **** ****** classified ** ********, *****, or ****. *****, *** person *** ** ***** face *** ** ********** as ****.

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Confused ******** ** ****** ******* ****** ****

****** ******* ******* *** scene **** **** ******* a ***** ******** **** that *** *** ******** by ****** **** **** accurately ********.

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****** **** ****** **** confused *** *** ****** hair, ***** ******* ********* did *** ********** ****** the *******.

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Disgusted ************ *********

*** ********* ******* *** sometimes ******** ** * person ******* ******* *** scene **** * ***** disgusted **********.

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*******, **** ** *** time *** ********* ********** was *** ********, **** on ** *********** ******* to *** ** ** classify.

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Simple *****

******* ********* ***** ** simple, *** **** **** turn ** ***** ******** in ********, *** **** it **** **** *** metadata ********* *** ******* classification ** *** **** view ******.

Tech ******* *** ***** ********

***** *** **** ******* tried *** *** ****** to **** ******* ******* detection, ****** ******* * clearer **** ** *** face, ***** ***** ********** did *** ***** ** our ******* ** ******* on *** ***********.

*******

*** ***** ***-*********-*** *** be ***** ****** *** ~$920 ***.

Versions ****

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

  • ***** ***-*********-***: **.***.*******.*.*, ***** Date: ****-**-**

Comments (11)

*** *** **** ** me, * ***'* ***** of * **** ***** use **** ** *** video ******** ***** ***** these ********* ***** ******* a **** ********** ** investigative/forensic *********. ************ ** light ** *** ************ and ************* ** ****** someone's **** ********* ***** from * ***** ******. I ** "*********" *** "disgusted" ** *** **** time **** ********** **** I'd ******. *** **** that *** ******** ***************?

***** *** ** *** cases ** ************** (*** detection *******) ** ********* analysis *** ****'* ***** it...I *****. *** ****'* based ** **** ******** as **** ** ** is ****** **********.

*** **** *'* *******.

****'* * ****** ****:

** ***'** * ***** invasive ********, *** ***** use **** ** ***** profiles ** ******** *** more ********** ******* **** they ****.

** **** **** ******** to****************, *** ***** ** able ** ******* ** someone ** * ***** was ***** ** ***** trouble. *'* ****** **** there *** * ***** several ***** *** ***** using ********* ********* ** spot ********** ****** **** acted. (****** ***** **** of *** ******* *'** heard, *** ********** ******** could ** ******* ********* than **** ***'* ******.)

** ******, ** *** analytic ***'* ********, **** it's **** ** *** it ***** ******.

**** *** *** ******** article ** * **** time... * **** *** faces (*** *** ************* misclassifications). * *** *** guys *** * ***** time *******... ***** *** for ****** ** ***** at *** *** ** 2020!

*** ***** *** **** expressions ** ******** **** they *** *** ****** feeling *** ****** *** train ** ** ** and ** ***** *** system. ** ** **** easier ** ***** ******* to ******* ** ** actor **** ** ** to ***** ******* ** fly ** ********, ******** 9/11. *** ****** ** an ****** ********* ****** that ******* **** *** deliver *** ******** *******?******* misleading. ** ** *** SECURITY. ** ** * FAIRY ****. **** ****** exists *** ***** *** tiny ********* ****** ** facial ******* **** ** NOT ****** ** *** person's ****. ***** ***** that **** ** ******** emotional *********, *** ****** INVOLUNTARILY ******** * **** muscular ******** ** *** face. **** ******** ** detected ** ****** *** are ******* ** *** subject, ** ** ******* who *** ******* **** to ******** ******'* ********* at ******** ******** *** conduct *** ****** ********* to *** *********** ** not ** *** ******, expressed ** ***** ************* and ***** *********** ****** movements. **** **** *****, it ** ****. *** ONLY ****** *** ******** these ****** *********, ********** DOES *** ** **** yet *** * **** simple ******, ******* ***** are **** **** ***,*** known ***** *********, **** one ********** * ******, which ***** **** ** be ******* ** *** algorithm ** ***** ** individualize ***** ******** *** each ******. **** ******. Easy *** ***** ** do, ***'* **?🤔

***, ** ***** ** impossible ** *** ******** near ***% ********. *** even ** *** *** get * ****** **% accuracy **** **** ********** or ******* *************, ** could ******** ***** *******. If ** ******** *** violent ***, * ***** it ***** *** ** worth **.

** ** ****, ** would ** ****** ** test **** ** **** life. ****** ** **** expressions *** ******** *** are *** ****** ****** is *** ** ******** test. * ***** **** to *** **** **** for * ****** ** time ** * **** life ********* *** **** compare **** ** ***** by ******* *** ** trained ** **** ***********. I ** ********** **** this ***** ** *********. And * ** **** it ***** *** ** much ******, *** ** would ** *** ***** way ** **** **.

****** ** **** *********** for ******** *** *** not ****** ****** ** not ** ******** ****

****, ** * ********** you *********, *** ******* Dahua ******** **** *** (below) *** **** ****** being ***** *** **** Dahua ******** **** *** was ******** ***** **** inside?

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***** * ** ********* joking, ** ***** ** that *** ** ***** video-based ******* ********* ******* are ********** ******** ** recognize *** ******* ********** of ********, *** *** actual ********* ***** ** the ******. ****'* ****, no?

** ** *****, ******* of ****, ***** ** an ******** **** ** any *****-***** ****** ***** it ******* *** ******* appearance ** '*********' ** equal ** ****** ********* when *** **** ******* people ***** **** *** appearance ** ***** ***** when **** *** *** (or **** *****).

**** ****, ** * system *********** ***'* ********** above ** *********, ** indicates ** *** **** fundamental ********.

***, ** ****** **** real-life ** **** **** various ******** ****** *** the ******** **** *** same.

****, * ** *** saying **** ** ***** turn *** *** *********. Was *** *****? **** was *** **** **** you *** ** ***** face ******** **** **** that? ***** *** ****** was *******. (**** ****) That ** ** *****. It ** **** **** to ***** *** ****** when *** ***** ** the *** ** *** intended. * ***** ****** to *** *** **** world ******* ****** **** posed ****** ***********. ****, I ** **** ** will *** ****** **** time. *****, ** ***** near *******, *** ******. Enough ** ******** * first **** ** *******.

** ** **** **** to ***** *** ****** when *** ***** ** the *** ** *** intended.

****, ** ***** ** that ** *** *** it ** ********. ***** is *** ******** **** they *** **** *****. Dahua ** ******** **** when ********* **** ** expression ******************* ***** ****'****', ** '*****' ** 'surprise', ***., **** **** report *************.

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** **** ****, *** happy **** ********** *** lips ********** ****** ******, which ****** ********* ********* with *********. ***'* **** are ****** ********, ***** typically ** ********** **** being *******:

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***, *****, ** ****** it ** '**** **** scenarios' ** ****,**** *** **** *********** results, *** ** *** showing ***** ******, ***** ones ******* ** ** show * ****-**** *** where *** ** ***** but ** ** ******* away ** ** ** angle ** *** **** is ********* ********, ****** will ******** **** **'* just ******* ** *** bad ****** ***********.

****** ** ******** * first **** ** *******.

****, ** *** **** to *** **, ****'* fine. **********, **** ********* ****** ***** ********* we ******, ** ******* ** what ******** *** ***** and *** **** **** can ******** ********.

*** ****** **** ** works... *** ****, ** emoji ** *** *********** an ****** ************** ** what *** ****** *** be ******* ***. **** you *** ******** ** the "*************" ********** *** not ** **** *** system ** ******* ***. He ***** **** ** has *** **** ** his ******** *** ** trying ** ******* ** without ******** ** ** me. * ***** **** would ** **** ** an ******* ******* ******. Regardless ** *** *** guys *** ** *** posted **** ******** *** this *******, * ***** still ****** ** ********** to **** **** ** would ** **** * period ** **** ** the **** *****. ** is ********* ********* **** you *** *** ******** so ** ** *** fair ** *** ****. This ** *** * feature **** * ***** ever **** ** *** or ****, **** *********** to *** **** ** being ***** **** **********.

* ****** ** ** saw *** ***** ** a *****. (*******) *** should **** *** ***** then *** ** *****. (joke)

* ****** ** ** saw *** ***** ** a *****. (*******) *** should **** *** ***** then *** ** *****. (joke)

** ********* **** ** the ******, ****** ***** for **** ***********:

****** *******, ****** **** facial **** ********** * facial ******* **** ****** and ******* ****** ********** calm

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