公开(公告)号：US6092725A

公开(公告)日：2000-07-25

申请号：US932779

申请日：1997-09-18

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： G06Q30/00 ,  G07G1/00 ,  G07G3/00 ,  G06K15/00

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.

公开(公告)号：US5504319A

公开(公告)日：1996-04-02

申请号：US194592

申请日：1994-02-09

申请人： Chung-Chi J. Li ,  Theo Pavlidis ,  Joseph Katz

发明人： Chung-Chi J. Li ,  Theo Pavlidis ,  Joseph Katz

IPC分类号： G06K7/14 ,  G06K7/10

CPC分类号： G06K7/1456 ,  G06K7/14

摘要： A scanning system for orienting bar codes use a first stage made up of a low-resolution scanner and a digital signal processor (DSP), and a second stage made up of a high-resolution scanner and a decoder. The first stage scans the surface of an object to obtain an image, which the DSP analyzes to determine the location and orientation of any bar codes. The DSP does this by dividing the image into windows and finding the windows which contain part of a bar code. The second stage receives the results from the DSP and scans the bar code on the object.

摘要翻译： 用于定向条形码的扫描系统使用由低分辨率扫描仪和数字信号处理器（DSP）组成的第一级，以及由高分辨率扫描器和解码器构成的第二级。 第一阶段扫描对象的表面以获得图像，DSP进行分析以确定任何条形码的位置和方向。 DSP通过将图像分成窗口并找到包含条形码的一部分的窗口来实现。 第二阶段从DSP接收结果并扫描对象上的条形码。

公开(公告)号：US06995762B1

公开(公告)日：2006-02-07

申请号：US10243396

申请日：2002-09-13

申请人： Theo Pavlidis ,  Eugene Joseph ,  Duanfeng He ,  Edward Hatton ,  Kefei Lu

发明人： Theo Pavlidis ,  Eugene Joseph ,  Duanfeng He ,  Edward Hatton ,  Kefei Lu

IPC分类号： G06T15/00

CPC分类号： G06T17/00 ,  G06T7/50

摘要： The present invention facilitates solid object reconstruction from a two-dimensional image. If an object is of known and regular shape, information about the object can be extracted from at least one view by utilizing appropriate constraints and measuring a distance between a camera and the object and/or by estimating a scale factor between a camera image and a real world image. The same device can perform both the image capture and the distance measurement or the scaling factor estimation. The following processes can be performed for object identification: parameter estimation; image enhancement; detection of line segments; aggregation of short line segments into segments; detection of proximity clusters of segments; estimation of a convex hull of at least one cluster; derivation of an object outline from the convex hull; combination of the object outline, shape constraints, and distance value.

摘要翻译： 本发明有助于从二维图像进行实体重建。 如果对象是已知的和规则的形状，则可以通过利用适当的约束和测量相机与对象之间的距离和/或通过估计相机图像和对象之间的比例因子，从至少一个视图提取关于对象的信息 现实世界形象 相同的设备可以执行图像捕获和距离测量或缩放因子估计。 可以对对象识别进行以下处理：参数估计; 图像增强; 检测线段; 将短线段聚合成段; 检测段的近邻簇; 估计至少一个簇的凸包; 从凸包导出物体轮廓; 对象轮廓，形状约束和距离值的组合。

公开(公告)号：US5566255A

公开(公告)日：1996-10-15

申请号：US447841

申请日：1995-05-23

申请人： Theo Pavlidis

发明人： Theo Pavlidis

IPC分类号： G06K9/20

CPC分类号： G06K9/00456

摘要： Page segmentation which scans a document to detect black and white run lengths along scanlines, finds grey intervals each defined as being between two long white or mostly white intervals of a scanline or between an end of the scanline and a long (mostly) white interval, links adjacent grey intervals into grey areas, and identifies such grey areas as text or halftone, prior to a larger process such as character recognition.

摘要翻译： 扫描文档以沿扫描线检测黑白行程的页分割，发现每个被定义为扫描线的两个长白色或大部分白色间隔之间或扫描线的末端与长（大多数）白色间隔之间的灰度间隔， 将相邻的灰色间隔链接成灰色区域，并且在诸如字符识别之类的较大过程之前将诸如文本或半色调的灰色区域识别。

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。