China Facial Recognition Jaywalking Market 2021

By Isabella Cheng, Published Jan 07, 2021, 09:32am EST

In 2018, China's facial recognition systems for identifying jaywalkers became global news. But what has happened in the few years since?

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In this report, we examine the 2021 market for China facial recognition jaywalking systems, including:

  • Examining the process of punishing jaywalkers including automated and manual actions
  • Sharing feedback from Dahua, Tiandy, and Uniview engineers on these systems' challenges
  • Detailing the providers of these systems including Hikvision
  • Estimating how broadly these systems are being used and their growth rate
  • Explaining how punishment works for jaywalkers
  • Elaborating on the appeals process
  • Habit building as a key purpose of systems
  • How local governments ppost jaywalkers on social media
  • What netizens concerns are

For our original coverage on these systems, see IPVM's "China Jaywalking Facial Recognition Guide".

Executive *******

******** ****** *********** ********** systems **** ******** *********** attention, ***** ********* ********* are ***** ***********. ******* still ********* *** ****** verification. *******, ************** ******* limited ****** ***** *+ years ***** ** **** a *** ** *** busiest ************* *** *******. While ****** *** ********* the *** ** ***** systems, ******** **** ***** with ***** ******** *************.

*******, **** ** ***** systems **** ***********, *** increased **** ** ***** and ****** ****** ***** impact *** **** ****** jaywalking.

**********

****** *********** ************ ********* ** ***** in ****** ***** **********, * long-standing *******. ***** ******* are *** ** ********** crossings *** **** ******** of ********** ** **** cross *** ****. *** system ***** ******** * large *** ******, **** as *** *** *****, that **** **** **** pictures ** *** ********* crossing *** **** ********* as **** ** * larger ******* ** *** jaywalker's ****.

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*******, ** **** ******** in ****, *** "***** ** *****" ** *** *** only *** ** ********* jaywalkers, ** ***** **** been ******* ** ********** ** ********, **** ********, ******* a**** **** *** ***** police **********.

Little **** ** **** **********

******** **** **** ******* suggest ***** ****** *********** cameras ************* *******, ********, and **** **********, **** automation ** ********* *** being ****. ***** ******* typically ***** ****** ** humans ** ******** ******* matches ****** ******* *** fines.

*****'******** ****** *** *** ********** system ***** * ********** of *** ******, **** a ****** (***** ** red *****) ******* "******* approval" (审核确认), ***** * human ***** ******** **** to ***** ** ******* the ***** ***** ** the ******.

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****** **** ****** ******* on *** ****** ********** ******** ****:

*** **** *********** ****** automatically ******** *** ******** information ** *** ******** and ***** ** ** the *** *********** ******** formanual ****** *** ************. [emphasis added]

*** ******* ******** ** image ******* *** *** system ***** ******** **** on *** *******. *** system ***** * ******** people **** *** ***** taken ** *** ****** could ***** ** *** gives * ***** ********** (in *** *****) ** those ***** ****** ** the **********: **%, **%, and **%.

**********, ****** ****** ** used ** ****:

*** ****-*** ****** ******** the ******** ***** ** the *****, ************* ******** multiple ****** ** ******** information, *** **** ***** them ** ***** ** similarity. ***back-end ****** **** ******** ****** *********** **** * ********** ** **** **** **%, and finally ******** ********* *** ******** ** *** ******* *****. [emphasis added]

Dahua/Tiandy/Uniview ********* ***** ** **********

*************** *****, ******, *** Uniview ********* ***** ***** jaywalking ******* ******** **** real-time *********** ** **** to ******* ******* ** a **** ** ****** to ******** **** *********, as:

the ******** **** ******** **** ** ****, *** *** ***** ** *************** ** **** ****. It is difficult *** * **** ** *** *** ******** **** ********; furthermore, the current face recognition is not 100% correct, and personal information will be leaked if it is wrongly posted, causing a series of problems, so many ****** *** ******** *** **** ******** *******. [emphasis added]

* ******* ******** **** he "******** **** *** implementation ** **** ********** is * *** '***********.'" Further, ***** ******* *** visited **** ****** **** these ******* ***********, ** city *** ** ****-**** comparison ** **** ** the *** ******. *******, most ****** ****** **** real-time ******* ** *** "wall ** *****" (******* identification) ** ******** ****** matches.

** *** ******, "****** phone *********** *** **** probes" *** **** ** identify *** *********, *** engineers ****. ***** ************ can ********* ******* **** person *** ******** ** a ******** ************ ****** the **** *** ******* was ***** ** *** system, ****** ****** **** information ** ******* *** system *** ********* ********** the *********.

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

**** *** *** **** any ************ ****** ***** the ******** ** ***** systems. *** **** **** manual ****** ** ****** signifies **** *** ******* themselves **** * ******** number ** ********. *******, whether **** ** *% or **%, ***., ****** information ** *** *********.

** *** ******** ****, people *** ******* ******** towards *** ****** *** for * ********** **** period ** ****, ********** the *********** ** ********* a ****-******* ***** *** analysis.

** *** ******** ****, the **** *********** ******* IPVM ***** ** *** scale ** *** ******** to ***** *******. ***** cities ********* **** ******** of ****** (*.*., ********, which *** *** **** of ***** *******, *** 20+ ******* ******). **** a ****** ******** ****** recognition ****** **** **** quality ******** ******, ****** to ******** * ****** individual *** ** ** million, ***** ********* ****** incorrect *******.

* ****** ****** ***** certainly ****, ** ********* could ******* *** *** 3, *, ** ** matches (**** ** ******** search ******) *** ****** ascertain *******, ******, *** possibility **** ***** ******, out ** ** ** 20 *******, ***** ******* is * ********** ********* for ****** *********** ******* in **** ***** ***** applications.

Providers / *************

********* ******* *** * standard **** ** ******* portfolios *** ********* ********* "Smart *******" ********. **** of *** *********/************* *******:

  • *************- **** ** ********, covered ** ****'* **** guide
  • *****- ******* ***** **** in *******, *****, ******, Shandong, *******, *** ***** provinces/municipalities
  • *********- ******** ******** "********* 90%"
  • *******- ***** * ********** in *******
  • ******- **** ** *******'* pilot ****** ** ****, a ****** *** ******** purchased ** ********* **** by ******* ******** ******** ***** ******** *** ~$38K ***.

**** ** ***** ******* typically ******* * ****** recognition ****** ***** * pedestrian ***** **** * separate *** ******, ****** than ** ***-**-*** ******, although ******** ** ** exception. ** **** ** the ******* ****** ****** recognition *******, *** ****** would ** ********** ****** to *****.

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Scale ****** ****** ** *****

***** ***** ******* **** received *********** *********, **** estimates **** * *** hundred ***** ************* ** all ** ***** *** using **** ***, ***** they *** *********, *** growth **** ** ******, with ** ********-***** ******* to ******* ****.

**** ** ***** ******* are **** *** ******** to ** ******* **** a ******* ** ********* in ******, ********* * few **** * ******:

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***** ****** **** **** expanding ***** *******, ****'* research ****** ** ******* of **** * ** 15 ************* ** * city ** ********* ******* by ***** *******. ******** is ** ******* ****** ************* ******* ** 51 *******. *****, **** ** a ***** ********** ** total ************* ** * large ****.

*** *******, *** ****** pins **** *** * covered ************* ** ******* (population ~* *******). *** entire *** ***** *******'* urban ******:

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Punishment ******* ** ********

********** *** ********** ******* from **** ** ****, although *** **** ****** punishment ** ** ******* the ******'* ***** ** a *** ****** ** that ********* ** *** "board ** *****". *** shame ** *** ********** and, **** *** *********** we *****, ** *** followed ** ******** ** legal **********.

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*******, * *** ****** have ********** ******** **********. For *******, *** ********* is ******** ** ** infraction *** ** *** (~$3 ***) **** *********** ******* ** ********* mail** ********. *** ********* can **** ** ** a ***** ****** ******* to *** *** ****, or *** ** ******* Alipay, ******, ** *** Shanghai ******* ****** ***. In ********, ** **** 2020, ***** *** * report ******** ***-********* ************. *** *******, ** someone *** **** **** 5 ******* **********/**** (********* jaywalking), *** ****** ****** score *** ** ********, and ** ****** **** participating ** ******** *** a ******** ******* ***** for **** ****. * similar ****** ** ***** and ****** ***** ****** has **** *********** *********. ***** ***** ** a **** ******** ** a ******* *** * few ******* ***** ** jaywalked. ** *****:

[**** ****** ******** ******] (Name *******) ** ****-**-** at **:**:**, ** *** intersection ** ****** ********* Road *** ******** ****** has **** ****** ********** (traffic *********). ****** ****** within *** ******** **** to *** ****** ******* outside ** **** ************ for **********. ******* ******: 84429834.

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Appeals ********

** ********, ***** ** an ******* ******* *** pedestrians *** *** *********** with *** ******'* ******** or *******. ** ************* **** **** ***** the ******'* ********* ** jaywalking (*.*. ** **** warning/second *******), *** ***** police ********** **** *********** are **** ** ****** if **** *** ***********:

** *** ***** ******** in *** ******* ********* is ******** ** *** electronic ******, ** ***** is ** ********* ** the *********, *** ******** video *** ******** *** be ******.

** *** ******** **** the ****** ******* ********, you *** ***** ** the ******** ****** ******** branch ** *** ******** people’s ***** *** ************** reconsideration ****** ** **** of ********* *** ********; or **** ** ************** lawsuit ** *** ***** within * ******.

“***** ********" **** ** a *** ******** ** these *******

***** ****** *********** *** manufacturers ** ***** ******* have **** **** ***** building ** * *** purpose ** ***** ******* and **** **** ******* is ********* **** **** important **** ******** ***** single ****** *** *** jaywalked. * ***** *****************:

*** ******* ** *** pedestrian ***-***** ******* ****** isnot ** ******** ******** *** **** * *** *****, *** ** ****** ********* ** ***** ** ******* ****** **** and regulations through exposure, and then create a safe and civilized traffic travel atmosphere. Management is only a short-term measure. You have to curb related bad habits to be effective in the long-term. [emphasis added]

* ******* ****** ********** in ******, ******** **** urged *********** ** ***** good ******, ******* ** its****** *****:

******* ******* ****** ***** traffic ************ ** ******* bad ******* ******, ***** by **** *** ***********, and ****** ****** *** civilly!

** ****** ********, *********, its ***** ***** ****** was ********* ** ********* 2020 ************ ******* ** an ********** ******. *** police *********************** ****** ***** *** only **** ****** *** safety ** ******** *** also ** **** **** build **** ********** ******:

*** ****** *** *** first ****-**-****** ******* ***** system *** ****** ** be ****** ** *** entrance ** *** ****** is ** **** **** account *** ****** ** teachers *** ******** ** the *** ****, *** on *** ***** ****, to ******* *** ******** from ** ***** *** to ********* ********'* ******* safety *********.

Government ****** ***** ******* **********

**** ***** ** *** common *** ***** ****** departments ** **** ******* of ********** ** ***** official ******** ** *****, a ******* ***** ****** media **** ******* ** Twitter. *** *******, ******* County's ******* ****** ** Ningbo, *************** ***** ** ** photos *** ******** ******** information ** *** ******* on ******* *, ****. This **** *** ******* the **** *******. ***** is ** ******* ** an ***** **** *** post, ******* * ******* of *** *********, ** well ** *** ******** name, ** ******, ****, and ******** ** **********.

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****, *****'* ******* ******************* ******* ** *** Weibo ******* ** ******** 31, ****, ******** ** the **** *******. **** police's ***** ******* ******** pictures ** *** ********* in *** *** ** well ** *** *********'* redacted **** *** ** number.

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**** ********** ******** **** the ******** ******* ****** used ** **** * website **** ***** **** pictures ** ********** ********* their ***** *** ** numbers. *******, ** *** been ***** **** ***** ******** ****. ***, ** ** more ****** *** ***** police ** ******** ****** jaywalkers ******* ****** ****** media ********.

Netizens ********* **** ************* ** *******

***** *** ******** ** social ***** ******** ** these ******* ******** ** IPVM **** ********, **** netizens **** ********* ***** whether *** ******** **** "exposing ******" ** ******** effective *** *** *** system *** ****** **** areas.

******** ******* ** *** enough, *** **** ****** be ***** ** **** sure **** ** *** jaywalk *****, **** ******** said. *** *******, ** a ****** ***** * system *********, * ******* ******:

**** *** ** ***** in ****** ********? **** fine **** *** *** every ****, *** ** they ***’* ***, *** them ** * ****** black ****, **** *** if ****’** ***** *******.

******* ******* ****** ********* similar ** * ****** about ******* *********, ******* **** ****** exposure ** *** ****** to ***** ****** *** already **** ** *****:

***** *** ** **** people ******* *** **’* already *******. ** *** think ***** ***** ** people **** ***** ****?

***** ******** **** ********* about *** *** ****** could **** **** **** areas ** ********* **** it ***** ** ********** for ******* ** *******, arguing, *** ******:

*** **** ** ***** is ** *****, *’* 30 ********* *** * have ** *** ** make ** ****** ** time. **** ******* ** elderly *****? * ******* following *** *** **** crossing *****, *** ****** solve **** ******* [** how *** ******* *** cross *** ****] *****.

**** ******* ** ***’** halfway ** *** ************ and *** ***** ***** red?

*** **** **** **** if ******** ** ******* masks?

Future *********

**** **** ******** ** monitor *** ****** ********** systems ******.

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