Dahua Confirms, Defends "Black", "White", "Yellow" Skin Color Analytics
Despite Dahua having repeatedly been caught with and then denying racial analytics, now Dahua not only confirms to IPVM it sells "black", "white", and "yellow" "skin color" analytics but resolutely defended them as being a "basic feature of a smart security solution".
However, virtually no other security or surveillance manufacturer offers such "skin color" analytics (though compare to Hikvision's Uyghur analytics).
Nonetheless, if Dahua, as one of the world's largest video surveillance manufacturers, makes this a "basic feature" as it says, this raises grave concerns about alarming and tracking people for being "black", "white" or "yellow", as determined by Dahua.
Dahua *** ***** ****** "**** *****", "**********"
*****'**** **** ******** (***开放平台),, *** ** *** ***** *** "human **** ***************" (人体特征) **** ******** "skin *****" (肤色) / "**********":
** * "**** **********" (数据字典) ***** explains **** *** ***** "**** ***** types" (肤色类型) ** ****** *** "******" (黄), "*****" (黑), "*****" (白), **** "unrecognized" (未识别):
**** ***** ********* ** ********* ** the "********* *******" (人员布控) ********, * feature***** ******* **** ** *** ***** ****** Park ******** ******** ** ******* ******** for ***** ********* ******** ** *****.
Dahua ****** ******* ***** **** ***** *********
***** ******* ****** ** ***** ********* European ********* **** ******* "**** *****" analytics ** ***** **************.
*** ** ****** ******* *******, ******* ******** ** ***** ******, *** ***** ************ ** *** Netherlands **** * ***** (**************,** ******** *******, *******.**):
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Dahua ******* **** ***** *********
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*** ******** ** ******** ** ********consistent **** *** *********** ** *** ***** ********* **** ****** *** ****** ******, ****** ** ******** *****. The ability to generally identify observable characteristics such as height, weight, hair and eye color, and general ********** ** **** ***** ** * ***** ******* ** * ***** ******** ********. As IPVM acknowledges, the API does not focus on skin color but includes it as one among 209 types of data enumerations, nor does it single out any specific skin color. The platform doesn’t even seek to create narrow skin color groups that could even theoretically be applied in a discriminatory fashion, but simply ********* ***** ***** **********. As such, it is a simple mechanism to enable third-party developers to build smart solutions based on certain basic observable physical attributes. [emphasis added]
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Contrast ** ******** **********
***** *** ********** ****************** ****-******* *********, ** **** ***** explains, *** *** ***** ******** ******** them ******:
** **** *********, ***** ****** *** distanced ****** **** **** **********, ********* varying **********:
- ** ******** ****, ************ ***** ***** ******* ****** "**** *** **** ******** **** feature [**] *********-******* *********** ********".
- ** ******** ****, ********************** *** "****-**** ****** ********",***** ******** ********, ********** **** "** ***** ******** products ** ******** *** ********* *********in ********, ***" [emphasis added].
- ** ******** **** ****, ************ *** ******** *****, ********, "** have ***** ********* * ******* ** solution ******** ** ******** ** ********* target *** ******** ****** *****."
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- ** ******* ****,***** ********* "**** *****" *** "********/*****" detection ******** ***** ** **** ** its ******* ** ** "*****", ****** it *** "****** ********", *** *********** it *** "***** ******** *** ******** of *** ****" **** ******** **** "targets" * ****** ** ****** *****.
*****'* *** ******* *********: "** **** ***** ********* * product ** ******** ******** ** ******** or ********* ****** *** ******** ****** group".
Color ********* ** ***** ************
***** ******* ***** ************ ********* ******* color ********* *** **** ** ********, virtually **** ***** **** *** **** color. ****** ************ ******* ***, **** significant ***********, ******* ** ******* *****.
******* *** ********* ***********, ********* **** color ** ************** *******. *** ** the **** ****-***** ***** *** **** a ** ******* ****** (**** ******* the ************ ******) *** *********** ** ****** "********* ***********" ******* ** ***** ***** ***, ********** ******** ***** biased *******.
Technical *********** ********
**** ****** **** ********, **** ***** analytics ****** **** ******* ***** ******** problems ** ********, *******, *** ********** lightning **** ****** *** ********* ** captured ***** ** ************ *******.
**** *******, **** *******, ********* *****, default ** ***** ** ************ ** low-light **********, ***** ****** *** ****** into *********, ******** **** **** ********* problems ** *********** *****.
Tracking ***** **** ****** **********
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*** *********** ******* *** *********** ***** being ***** ************ ** ******** ** UV *****, ******* ***** **** ******* light *** *** **** ***** ****** - "*****", "*****", *** "******".
*****'* ******* ******* * ******* ** the *** ** ***** ***** "* major *****" (三大人种) *********** ** ** ********* *** **********-*** ******* ******* ** Sciences: ***** (********), ***** (**********/*********), *** yellow (******).
** *** ** *** ******, ********** began *********** ****** **** ******** '*****' based ** **** ***** ******** ** the **** *******. *******, **** ** now ********* ********** ** **** ************ ******.
Ethics ********
****-******** ******** ******* ******* ******** **** experts **** ****, **************, *** *********, as ******** *****: *** ***** ****** ** ****-********* Software ****** ******** **** ****.
**** ** *** ***** ********* "*** controversial *** *** **** ******* ** China" ** **** ********* ** ******** ********* ************ *****.
****** *** ***, **** ***** ********* are **** ****** *** **** ************** *** ****** *********(********* *** **-******** ** *****.)
ACLU: **** ***** ********* "*********** *********" ****** **************
**** ****** ****** *******,*** *******, **** **** **** "**** ****** good" *** **** **** **** ***** analytics, *** ******** **** "**** *********** guarantee" ****** **************:
Very ****** **** can come from training analytics to tag ****** ** ***** **** ***** in video footage, especially here in the United States where racism is such a raw and deep part of our history and present. Video analytics already has the potential to lead to more pervasive surveillance; making detection of skin color a part of the toolbox will practically ********* **** ****** ************** becomes part of that. The history of "Uygur detection" analytics as part of the Chinese government’s infrastructure of oppression stands as a stark reminder of the ugly potential here. [emphasis added]
Security ******** ***********
*** ******** ******** *********** ********* ** raising ******** *********** ***** ********* **** two **** ********, ********* ********* ***** and ******* *****, ****:
***** *** **** ** ******** ** not * *** ******, *** ******* are ********** ** “****** *********, ********** and ***** ** *** ********* ** well ** **** ** ***** ********* that ****** ** **** *********, ********** or *****.” *** ******** ** ******** in ****** ********** **** ** *********** ** ******** **** ******* ** renewing * *** **********. ***availability ** **** ************* ***** ******* *********** *** ** ********** ** ************ ** *** *** ******** ** “****** ** **** *********, ********** ** *****.” Furthermore, identifying ** **********’* ******** **** (** **** ***** *** ***** **** **** ** * ***** *** ****) ******* ***** ******* ** ********** ** ******** **** ******* *** ******** ******* ********. On these matters of privacy, SIA further refers the industry to the principles outlined in the *** ******* **** ** ********** ****** **** ******* **** ** ******** for ***** ************. **** ********* ****** *** ********** of ************ *** **************, ***** ***** principles.
***** ***** ** ** ****** * member ** ***, ***** ******** ******** ****** **********.
** ******, *** *** ** ***** discriminatory ******** ** ****** *********.
******* ** **** ** ***** ** in ****** ** *** ****** * find **** ******* **** ******.
**** ***** ***** ** **** "*****", IMO.
*** ***** *********** ********* **** ** identify ******* *** ******** *** ***, age, *** ****. ** *****, **** are ********* ******** ** ******, ******, build, ****, *** *****, *** ********. Since ******** ** ******* *******, **** as * ******'* ****** ***** *******, what ****** ** ** ******* ** ask?
******* *********** * **** ** ******* person ** ********. ****** ** ******** the ******'* ******* ** ******** *** sensitive ***********? ****** **** ** ****** be ******** **** ***** ****** ********? Should *** ** ******* ** *****, yes ** **? ****** **** ** eliminated?
******* ********* * ******** ****** *** "Juvenile ******* **** ********" ***** ****** to ****** * ******* ***** ** a ******** **** ********* ** ******.
***** **** ****** ***** ** **** a **** ********** *** ***** ** each **** ***** *** **** ********* training. ** ***** * ****** ****** that ****, "*** *** ********* *** a ****** ** *******", *** ******* all *** ********* ********* ****** *** select ******? ** ** *** *** parents ** *** ******* ***** **** we *** ** ****** ****** *** video ******.
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***'* **** ** ****** ****** *** policies *** ******* ******** ****** **** blame **********.
** ***** ***** ***** ** *** technology ** ***, ****** **** ******* the ***** *** ********** ******** ********* have?
**** *** ****** ** ********** ***** automatically *********** *******'* **** *****? ******* I'd **** *** ** ** ***** that *****. *** **** ********* *** saying "**** ****** ****** *****" ** what?
*** ****** ********** * ******** ******* is ************* ********* **** * ******** system ************* ************ ****** ** **** color, **?
**** ***** *** ******* ** **** -***** ********* "******" ****, "******" *****, "Hooked" **** *********, **-******** ** **** and *********
** ******** **** *** * ******** with ****’* ****. ** ************ ******* certain ***** ** **** *** ** doesn’t **** ***** ** **. ***** bit ** *** **** ** ********* online *** **** *** ********* *** other ******, ** ** *** ** collect **** ***** *** ** **** type **** ** ****** ******* ********? Wrong *** *** *********** ** *** this **** ** **** ** ******* how **** ***** ******** ****** **** maybe ****’* ***** *******? *** *** of **** *** *** ***** **** is ***** *** ******* **** ***. Screening *** ******* ** *** ****** in ***** ** ******* **** ** a ******** ***** *** **’* *** regime ****’* ** ***** *** *** AI. ** *** **** ** **** against **** ********** *************, * *** get ** *****; **** ** ****** for *** *********** ** ** *** things, * *** **. **** ******* seems ** ****** ********* ****** ** gathering ******** ***** ** **** ***** assuming *** ******** **** *** ******** of **** ******* *********.
********* *** ******* ** *** ****** in ***** ** ******* **** ** a ******** ***** *** **’* *** regime ****’* ** ***** *** *** AI
** *** *** ** **** ********* commercializing ****** ***********? ****, *** ***** Mexican ***********? ********* *** ***********?
* ***** ****'* ***** ********* ** that *** ********** *** *** ************ are ********** ** "**" ** *** fields *** ** ***********. *** ***** is *** *********** ** *** ********** and *** ********** ****** **** ** should ** **** *** *** ****** of ********** *** *** *********** ** provides. *********, *** **** ** *** do ** ********** *** ************ ** these ******** ** ** ******** ** deny ***-***** *** ****** ** *********** people ** ****** ******** *******.************, ** should **** **** ****** ************ ** create ** ******* ******* ******* ************** technology. ** ***'* ***** ******* *** actual ********** ** ****** ************** ******** in ****** ************ *** **** ** the **** ** ***** ** ********** anyway, *** ** *** ***** ******* it ***** **** ** ************** *******.
** ***'* ***** ******* *** ****** capability ** ****** ************** ******** ** vision ************
** ***. **'* *** ********** **** companies **** ******* ****** / **** color *********. ******, *** **** **** Dahua ** *** ***** ******** ************ manufacturer ** ** **, ******* ***** analytics ***** ****** ********* *** *****, is * **** **** ********* **** internally ********** ** *** *** ******** it *** ** ******* ********.
******** ** **** ********, ** **** has **** *** *** *** ******, helps ********* **** *******.
* ********** ***'* ***** **'* ***% possible ***** ********* ***'* ** ********** extricated **** ******** *** ************** *** as **** ** ***** ** * need ** ** **********, **** * detail ***'* ****** ** *******. *** enforcement ***'* ** ****** *********** ******** while ******* ****** **** **** *** potential **** **. * *** *** sentiment, * ********* **, *** *** do *** ********* **** **** *** details ** **************?
** **** ** ***** ** * need ** ** **********, **** * detail ***'* ****** ** *******
****** ******** ******* ******** ******** ************* differs **** * ************ ****** ****-******* people ** **** / **** *****.
*** ****** ** **** ** ******** cases ***** ****** ********* ****** (*** police) *********** * *****.
*** ****** ** **** ** ******** automatically ** ****** *** **** * surveillance ******.
*****/********?
****, ***'** ******** ** * ******* as ** *** ******* **** ** universal *** ******* **** ** * consumer/DIY *****. *******, ******** **** *** ability ** ******** ****** ** *** degree ** ******** ***** **** ******* of ***** ********. **** ***'* ** a ********* ********** ******** ** *** masses *** **** *** ** ********* that *** ****** ** ********* ** be * ************** ****** *** *****-******* of ****** ***********. ** *** **** to *******, ***** *** *** ********* and ******* ** ***** ******** ** the *********, *** *** ** *** ban * ******** *** **********?
** * ***** *****, *** *** correct. ***** ************ ****** ********* ** done **** * ***** ** *** helm, *** *** ****** *** *********** (which ***** ** ****** ****** *** out ******* ********) **** ********** ******* (at ***** * ******* ********** ** race ** ** *********** ******) **** capability ** ******* ********.
****: ***, **** *** ********** *** verbose, **'* *** *** ***** **.
*'* **** ********* **** ** ** prevent ******* **** *********** *** ********* information, **** ***'* ** **** *** locating ******* ********, ******** ** ***-***-*** fatal *********, ** ****** **** (***). What ** * ***** ****** ** on ***** *** ** ** ***** with * **** *** ***** ***** at *** ** ** *****, *** we ***** **** ******* ****, *** the ******* *** *** ** ********, including ****** *********** **** *** **** found ****?
*****, ** ** *** ****** *** how ** *** ****, *** *** technology. ***** ****** *** ******* ** place ** **** ********* *** *** enforcement ********.
* ** *** ******* * ******* making * ****** **** ** **** can ** **** *** ****-****** **** because ** *** **** ** **** for *** ******. *** ******* * gun ***** **** ***'* *** * gun ******* ** *** ** **** for *** ******. *** ******* *** victims ** *** ****** ******** ******* that *** ******* *** ***** ****** because *** ** ** ****** ********* of ***** ** ***** ** ** longer *********.
*** **** ***** ** *** ***** identifying ****** ******. ** ** ***** the ******* ** ********** ****** ** skin *****. ****** ** ********** ** should ** **** *** **************. * am ********** ** ***** ** **** for ****. ** ****** *** *** uses ** ****** * *******, ** not ******** ** *** ***** **** did **. ** * ********** **** technology **** **** *** *** *** cases *** ****, ** ***** *** government, *** *** ************.
***'* ** **** *** ******** ******* children, ******** ** ***-***-*** ***** *********, or ****** **** (***). **** ** a ***** ****** ** ** ***** way ** ** ***** **** * bomb *** ***** ***** ** *** of ** *****, *** ** ***** have ******* ****, *** *** ******* had *** ** ********, ********* ****** recognition **** *** **** ***** ****?
*** ** *** ******* **** ***** analytics ***** ***** *** ** ***** crimes? *** *** ****** *********** *** fundamentally ********* **** **** ***** *********. Is ***** * **** ***** *** really **** ** *** * ********, but *** **** *** ****, "**** show ** *** ******** ** ***** finds **** ** ** {****** **** color ****"?
***** ******** ** **** ** * dedicated ***** ** ******** *** **** of * ***** ********* ** ******* identification? **** ******* *****'* ********.
******, *** ******** ******** *********** ********* by ******* ******** *********** ***** ********* with *** **** ********, ********* ********* risks *** ******* ***** :
***** *** **** ** ******** ** not * *** ******, *** ******* are ********** ** “****** *********, ********** and ***** ** *** ********* ** well ** **** ** ***** ********* that ****** ** **** *********, ********** or *****.” *** ******** ** ******** in ****** ********** **** ** *********** ** ******** **** ******* ** renewing * *** **********. ***availability ** **** ************* ***** ******* *********** *** ** ********** ** ************ ** *** *** ******** ** “****** ** **** *********, ********** ** *****.” Furthermore, identifying ** **********’* ******** **** (** **** ***** *** ***** **** **** ** * ***** *** ****) ******* ***** ******* ** ********** ** ******** **** ******* *** ******** ******* ********. On these matters of privacy, SIA further refers the industry to the principles outlined in the *** ******* **** ** ********** ****** **** ******* **** ** ******** for ***** ************. **** ********* ****** *** ********** of ************ *** **************, ***** ***** principles. [******** *****]
***** ***** ** ** ****** * member ** ***, ***** ******** ******** ****** **********.
******: **** ******* *** **** ***** to *** *** **********:*** ****** ********* *** ******* ******** Over ***** **** ***** *********
* ***** ***** * *** ******** in ************* **** ****, ** ** the ********** ** ************** *** *********** (sensing *** ********* ******* **********; ***********) with *** ***** ************* (** **** thereof) *** ********* *** ******* ***** based ** ***** ******** **********.
********* *** ******* *** ** ***** or *******, ***** ** *****.
************ *** **** ** ******** ** inaccurate; **** ** **** ** **********.
**** ** * *********** ********** **** gets **** ** *** ***, ** we've ********* ******* * ****** ** western *****/******** ******* ***** ********* ***** accurately*** ********* ** ********** **** "*************"** ********** ** **** ** ** a **** ** "****."
*** **** **** ****** *****, ** be ********.
*** *** ****** **** ****** ** politely, *** *** **** *******.
**** ********** *** **** ***** ** the ****, *** ** **** ***** on ***** **********... ****'* *** ***** point ** ***** ******** ****** *** process.
*** ********, *****, ** *** * universal.
***** ********* ** **** ****. ***** it's ****** ** **** ** ******* things **** *** *** ****** **** and **** *****, ****'* *** ***** of ***** * *** *** *** trying ** ******* **?
**** ***** ********* **** ** *******.**'* *** *** ******* *** **** for ***** ******** ****** **** **** only ***** *******, ******** **** ** spread **** ***** ******* ************ ******.