Hanwha Face Mask Detection Tested

By: Zach Segal, Published on Jul 01, 2020

Face mask detection or, more specifically lack-of-face-mask detection, is an expanding offering in the midst of coronavirus. Hanwha in partnership with Turkey's A2 has now released an option, but how well does it work? And how does it compare to Avigilon's offering?

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Inside this note, we share our findings across:

Executive *******

******'* **** ********* ********* worked ****, *******, ** suffers **** ******* ***** support *** ******** ********** high ***** ******* (~***** in *** *******) ******** usefulness. **********, *** *********, it ****** "*********** **** Mask *********" **** ** our *******, ********* ******* ~70% ** *** **** masks **** **** ***********.

Limited ****** *** $*** *********

*** ** ******** **** works ** * ****** models (~** *******) ***** older ******* * ***** and *** **** ******* from ****** ** $*** per ****** *** * perpetual *******.

Upcoming * ****** ******** **** *********

************, ****** **** * P ****** ****** (** the **+) **** ******* mask ********* ********* *** a **** ******** ******* later ** *** ******, specifically ***** ******:

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Comparison ** ********

******** *** ********** ** price (****), ***** ******* (much *******), *** ******** range (********* ****** **** than **** *** ***** density ** ******).

*** ********** ********* **** Avigilon's **** ********* ** that ** ****** "*********** Used **** *********". **** correctly ******* ~**% ** cases ** ********** **** masks ** *** *******.

***********, *** **** *****, we ** *** ****** people ** ****** ******** or *** *** ****** the ***** *** **** specific *******.

Comparison ** *******

******** *******, *********, *** ****** tablet **** *********, ****** *** **** more ******** ** ********* people *** ***** *****.

Performance *********

*******, *** **** ********* from ****** ** ********* well ** **** ** anticipate ** ** ****** use *****. ** ******* picked ** **** ********** in *** *** ****-*** settings, **** **:

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*******, *********** ******* ********** in * ***** *** scenario. **** ******* ** a *******'* ****, *** Hanwha ***-**** ****** ***** failed ** ****** **** violations ***, *** *** flag * ******** ******* walking ******* * **** room **** *******.

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** ********** ********* ** IPVM *******:

**** *** ** ******** with ******'* ******* ** fine-tune *** *** ********* ... *** ******** * better ***** ******* *** the **** **** ********* application

****** *** ** ******* included ********** **** **** detection. ** ***** **** when * ******* ****** by **** ***** **** exposed, ~**% ** *** time **** **** *******.

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** ********, *** ****** failed ** **** ** a ******* ******* ******** at *** **** **** it. *******, ** **** a ~*-****** ***** ** with * ***** **** tilt, **** ***** **** away. ***** **** ***** be ***********, *** ****** could ** ******* ** mitigate ****.

Will *** ****** **** **** ******

**** ********'* ********, ******* with ***** **** ****** will *** ***** * "no-mask" ***** (** ******* the ********* *** * human *** '***' * mask). *******, ** **** only ******** * ~**°***** of *** **** ** flag * **** *********.

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********

*** **** ********* **** Hanwha *** ** ********** was ****** ** ***** than ********'* ********. ** arm ******** *** **** could ***** *** ******.

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*******, ** ***'* ********** spoofing ** ** * major ******* *** **** consumers.

Monitoring **** **** *********

*** ****** *** ** monitored ******* ******* **** or *** *** *********** interface (***** *****).

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********** *** **** *** straight *******, **** ******** to *** ******* ******, options ** **** ******* events, *** *** ******* to ************* **** ***** for ******** ****** ***********, so **** ** ***** are ***** ******'* **** integrations.

PPF/Size ***** ******** *** ****** **** *********

*** ******* ***** **** ~70 *** *** ******** for **** *********. *******, a2 ********** ****** **** mask ********* ******** ******* 120px-160px **** *****. ***** we *** ******* **** the ****** ***-****, **** would **** ***** ***** only **** ** ********* distance ** ~*-*' *** mask *********, ****** **** the ~*'*" (~** ***) we ****** ** ** effective *****. ****** ***, the *** *********** ** significantly ****** **** ********'*, making ********'* ******** **** better *** ***** *****.

Comments (2)

*'* ********* ******* ** know **** *********** *** end-users *** ** *** use ******** (*** ****** is ***** ** **** are ** ******** ********) if **** ***** ****** to *** ** ** server ** *** **** detection ** ******** *******, or *** * ***-**** camera *** ********* ******* that *** ** ** the ****?

*** ***** ******** **** ties **** *** *** above ** ** **** end ***** ***** **** cover ****** *****, ***** one ** *** *********** in * ******** ** store, ** ***** **** want *** ***** ******* within * ******** ** have **** *********?

******* ** *** **** cameras *** ****** ***** the ** **. ** you ******* *** ****** it ***** ***** ** swap *** ****** *** move **** ****** ** a *** ******** **** does *** **** *** AI.

** *** *** ***** 100 ******* **** ** makes ***** ** **** up * ******.

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