StopLift Retail Video Analytics Examined

Author: Brian Rhodes, Published on Jun 11, 2012

Can video analytics be used to stop sweethearting and self check out theft, two of the biggest threats that retailers face? While analytics are commonly used for simple activities like people counting, reliably detecting the more complex 'sleight of hand' thefts common in sweethearting and self checkout is more challenging. In this note, we examine the offering of a provider who claims to be able to solve these problems.

The video below overviews the objectives and detections that the provider, StopLift, claim to deliver:

Surveillance ****** ***********

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How **** ** ****?

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stoplift overview

How ** ** **********?

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******** **** ************* ** *** / *** ******* *** ** not ********* ********** **** * ************ ******'* **** *********.

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*** **** ** '***-**** *********:

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How **** ***** ** ******** **** *** ******?

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************, ***** *** ***** **** **** ******** ********* ** ****** events:

incident

How ** ******** *********?

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  • ***: *** ******/ ***** ******** ***** ** ** ********* *** connected *******.
  • ****** ******: *** *** ****** ***** ** ** ********* **** to ********'* **** ******.

Establishing ****** ******

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How **** **** ** ****?

******** ** * ************ ***** ********/******* ******** ******** ***** *********, human *******, ******* *** ****** ***. ******* ** ***** ** a ********** ** *** ********'* ****** ** *****. ****** **** security *******, ******** **** *** ****** *** ****** ** *** register. *** ******* **** **** **** ******* ********* ** *** their ******** ****** **** ********* *** *****.

** ******* **** ** * ****** ***** *** **** ********* as ** ******* ** ***** **** *** **** *** **** on *** ******** ** ******* ***** ******* *****. *******, ***** it ** * ********** ********** ** *****, ** ** ********* to ********* ********** *** ***. ** ****, **** ****** ******** on **** ***** ****** ** ********* *****.

Where ** *********** ***?

*** ******** **** *********** ******, ******** **** **** **** ******* with *********** *** ******* **** * ********** ** *** ******* subscription ****, ***** ***** ** * ********* ****** ** ******* RMR.

Competitive ***********

***** ***** *** * ****** ** *** / ********* ************* that ***** *********, ***** *** *** **** *** ******* ********** services **** ******* ****** *** ***** ************. ******* *********, ** have *** ******* **** ******* ****** ****** ** ***** * strong ******* ***** *********** *****.

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