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2. 发明授权

US06672506B2 Statistical sampling security methodology for self-scanning checkout system 有权
标题翻译：自动扫描结帐系统的统计抽样安全方法
公开(公告)号：US06672506B2
公开(公告)日：2004-01-06
申请号：US09977477
申请日：2001-10-15
申请人： Jerome Swartz , Stephen J. Shellhammer , Joseph Katz , Theo Pavlidis , John Woffinden , Judith Murrah , Edward Beadle , Raj Bridgelall
发明人： Jerome Swartz , Stephen J. Shellhammer , Joseph Katz , Theo Pavlidis , John Woffinden , Judith Murrah , Edward Beadle , Raj Bridgelall
IPC分类号： G06K1500
CPC分类号： G06Q30/06 , G07G1/0054 , G07G3/003
摘要： A statistical basis for use in a self-scanning checkout system determines how many items to check in a shopper's shopping cart for incorrect or missing scans as well as which particular or types of items to check to determine if they were properly scanned, if the shopper is determined to be audited. The present invention does not audit every customer, but rather determines whether a given shopper or customer is to be audited on a given shopping trip based upon obtaining a minimum checkout loss for such customer. The methodology determines how many items to check for a given shopper as well as which particular items to check for that shopper. The following factors attempt to model the real world of shopping and may be considered, alone or in varying combinations, in determining the number of items to check for a particular shopping transaction: shopper frequency; queue length; prior audit history; store location; time of day, day of week, date of year; number of times items are returned to shelf during shopping; dwell time between scans; customer loyalty; store shopping activity and other factors. Using statistical decision theory for auditing policies a minimum loss per shopper transaction improves the security and reduces the labor of self-check out without being too intrusive to customers.
摘要翻译：用于自动扫描结帐系统的统计基础确定购物者购物车中检查不正确或缺少扫描的物品以及要检查的哪些特定或类型的物品，以确定它们是否被正确扫描，如果购物者决定被审计。本发明不审核每个客户，而是基于获得这样的客户的最小结账损失来确定给定的购物者或客户是否将在给定的购物行程上被审核。该方法确定了为特定购物者检查多少项目，以及哪些特定项目来检查购物者。以下因素试图建模购物的真实世界，并且可以单独地或以不同的组合来考虑确定特定购物交易的项目数量：购物者频率; 队列长度以前的审计历史; 商店位置; 时间，星期几，日期; 商品在购物时返回货架的次数; 停留扫描之间的时间; 客户忠诚度; 商店购物活动等因素。使用统计决策理论对审计政策，每个购物者交易的最小损失提高了安全性，减少了自我检查的劳动，而不会太多侵入客户。

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