Japanese Stores Facial Recognition Sharing

Author: Carlton Purvis, Published on Apr 21, 2014

A controversy is brewing in Japan after a newspaper was tipped off about a practice stores use to combat shoplifting. A network of stores uses facial recognition technology to tag customers as shoplifters and relay that information other stores. In this post we examine the practice and compare it to similar U.S. efforts.

* *********** ** ******* ** ***** ***** * ********* *** tipped *** ***** * ******** ****** *** ** ****** ***********. A ******* ** ****** **** ****** *********** ********** ** *** customers ** *********** *** ***** **** *********** ***** ******. ** this **** ** ******* *** ******** *** ******* ** ** similar *.*. *******.

[***************]

**********

***** ******** ************ ******* ************ ****** ** *** ***** ************ **** **** ********* ****** recognition ******* ** ******* ****** ** *********** ** ********* ***** for **********. ***** ****** *** ******** **** * ******** *** all ****** ** *** ******* *** **** **** ****** *********** systems. *** ****** ***** ***** ******** ****** **** * ********** or ******* ******** ***** **** *** *****.

*** ******* ******* ***** **** **** ***** ** * *****, but **** **** *** ***** ****** ** ******** ** *** database. **** *** *** ******** ****** ** “*******” ** ****** in *** *******.

Japan ******* ********

*** ***** **** *** ******** ********* **** **** ***** *** Personal *********** ********** ********* ******** ** ******** *** ********** ******** *********** ***** ** not ** ** ********** ***** *******. ******* *** ****** ***** ****** *** ** a ********* ** **** ***.

* ****** *** ********* ***** ** **** *** ******** ** concerning ******* ** ***** ***** ******** ** *** ******* ******** or ** ********** **** ******** ****** **** **** ***** **** to *** ** ******* ** *********** ***** ** *** ******** there ** ** *** *** **** ** ******.

***** *** **** ********* ****** **** ********. **** **** *** story ****, ***** ******** *** ***** ***** **** ************ ******* and ******** ** ***** ****** ***** **** ************ ******* -- not ************ ****** ****** ***** ******** ** ****-** ****** **** driver's ******** ** ******** ****** *** *******.

Sharing ********** ****** ** *** *.*.

** ********, *** ******** ** ******* ****** ***** ****** ****** is ****** ** *** ****** ******. **’* *** ** *** form ** ****** *********** **********, *** ***** ** ** *********** sharing ****** *** *** ***** ********* ***** **** *** ***** video, ****** *** ************ ** *********** **** *** ******* ** help ****** ********* ****** *****.

* **** *************** ******** **** ** **** *** **** ****** in *** *.*. *** * *****: ****** ************ ********* ** images ** *********** ** ***** ********* ** *** ****.

******* ********** ** **** ** *** *.*., **** ******* **** caught *********** ****** ****** **** **** * ***** ** **** when ****'** ****** *** *** **** ** * *******-**** **** database ** ***** **** ** ******** ******. ** *** **** of *** ******** *******, ****** ***'* **** ***** ****** *** being *********.

Hard ** **** **** ****** *** ***** *** **********

** *** **** ********* ** **** *** ***** ****** *** *** technology. *** ***** **** *** *** **** ******* ***** *** technology ** **** *** ** *** ****** ***** ** ** IPVM ********* ******* ************ (**** *** *** *****) ** *****. None ** **** **** **** **** ***** **** ******** ** declined ** ******. *** *** ***** **** *** ****** ***** 50 ********* ********* *** ***** *** **********.

******** **** ********** ***** ** **** ** *** ************ ****** in *** *****, ** *** ***** ** ** ********* ******* to ***** ***** ****** *** ** *********** *** ****** ** shoplifters?

Comments (5)

******* **** ********* (*) **** *********** *** ** ****** **** identified ** ***** *** ******** ** *** ********, *** (*) erroneous ******* ***** ********. ** **** **** *** ****, **** it ***** *** ************ **** **** **** *********** ****** ** closely ********* ** ******** ******.

** *** ***** ****, ******* **** (*) ********* *** ***** erroneously ** **** *********** ********** ** *********** *** ******** ** the ********, ***/** (*) ********* ******** ******* ***** ***-******** ********* shoppers ** *****. ** **** **** *** ****, **** *** approach ***** ************ *** **** *******-********** ** ***** ** ********** of ****** ******** *********.

** *** ***** **** ********* ** *******, ** * *******, the ********* ** ********* ******** ** ********** ** ******* ******** errors ***** ***********. **** *********** ** ** ******** ****** ** be ********* **, ****** ****** ******** ***** ********? **** ***** databases **** ** ********* *** ******* ******* ** *** * job ** * ********* ******* ******** ************** *** ***-********** ********** use *********** **** ***** *********? ** * *******, ***'* ** likely **** *** ******* ** ***** ****** ********** **** **** through * ********* **** *** **** ********** **** ** ******** if **** *** ******* ** * **** *********** ****?

****, * ***** ** **** ******** ** ** ****'* **** the ******* ** *** ** *** *** ****. * ****** that ** **** ***** ** ********* ** ********, *** *** press ********* **** **** ********* **** ************** ***** ******* ***** were *********, ****** * *****'* ***** ** *** ****** ** a ***** ***. ** *** **** ******, ** ***** *** affected ******* ******* ***** *** ************ *** ** ***** **** form ** ********, ******** (*** *******) ****** ***-********** ******* *** non-refundable ************* ****-******** *** ****, ***** ****** *****, ****** ***'* name ******* **** *** **** **** *** **** ** *** equitable. ** *** **** ** **** ****** *********** ****, *** could ** **** **** ********** ********** ******** *** **** ** idea ** *** ****** ** ******** ***********. *** *******, ** innocent ****** ******* ******* ** * ******* ***** ***** ** called **** ***** ***** ********** *********, *** ***** ********** *** problem **** ****** ** ** *********. **** ** *** ****** were ********** *** **** ** *** **** **** ********** *********, would *** ********** **** ** *************? ***** *** ****** ******** during *** ********* ************ **** ** ***********? *** **** ******** loss ******** ******* ***** ******** ********** ** **** ************* *** correcting ** ***** ** *** ***** *****.

*** * ******** ******* *****, *** ***** **** * **** at **********' ****** *********** ** ****** ********** **** *** *** IP ************ ** ********* *******.

*.*. **** *** * *** ******* **** *********** ************. **** up *** ***** ****, ****!

* ****** **** ** * ******* ** ******** ** ***** someones ******** **** *** ********* ** ******* ***/******* ** ***** property, ** ******** *** ***** ** ******** *** ******* ** his ******** *********, ******.

** *****'* *** **** *** ********* ******* *** ********* ** any **** ** ************, *****? ** **** ****** ** **** a ********** ****** ** ** **** ***** *** **** ****** keep * ***** *** ** ****. ** ****'* *** ****, no ****, ** ****.

***, ** ***** ********* *********** *** ******** ** *********** ** the ****, **** *** ***** **** ********* ** ***** *****.

**** ******* **** ******* *** ****** ** ******** *********** ** advise *** ****** **** *** ****** *** *** *********** *** how ** ** ***** ****. ***, ** * ****** ***** has **** ******** ** *** ****** ** ******** ** * crime, ** ***** ** *************. *** ******** ********, ** ****** the ****** ** *** ***** **** *** ****** ** *** police **** *** ********.

******* **** ***** ******** *********** ** ** ********* ** **** as ***** ** * '*********' *** *** ***********. ** ** appropriate *** * ****** ** * ******* ** ******* ********** from ***** ** *********** *** ***** ** *****, ** **** as **** ***** ********* *******, ***** *****, ** *** ******. Best ** *** *** **** '*******' ****** *** *********** ** the ******** ********.

"**** ******* **** ******* *** ****** ** ******** *********** ** advise *** ****** **** *** ****** *** *** *********** *** how ** ** ***** ****."

**** ******* ** *** *******. ** *** **, *****'* ****** no *** ********** / ******* *** ** **** ***********. ** Europe *** ************ *********, *** ******** ***** ** ** ****.

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