公开(公告)号：US07246745B2

公开(公告)日：2007-07-24

申请号：US11050163

申请日：2005-02-02

申请人： Alec Hudnut ,  Alex Simonini ,  Michael Cremean ,  Howard Morgan

发明人： Alec Hudnut ,  Alex Simonini ,  Michael Cremean ,  Howard Morgan

IPC分类号： G06K15/00

CPC分类号： G07F7/02 ,  A47F9/046 ,  G06Q20/343 ,  G07G3/003

摘要： Methods and computer readable media for recognizing and identifying items located on the belt of a counter and/or in a shopping cart of a store environment for the purpose of reducing/preventing bottom-of-the-basket loss, checking out the items automatically, reducing the checkout time, preventing consumer fraud, increasing revenue and replacing a conventional UPC scanning system to enhance the checking out speed. The images of the items taken by visual sensors may be analyzed to extract features using the scale-invariant feature-transformation (SIFT) method. Then, the extracted features are compared to those of trained images stored in a database to find a set of matches. Based on the set of matches, the items are recognized and associated with one or more instructions, commands or actions without the need for personnel to visually see the items, such as by having to come out from behind a check out counter or peering over a check out counter.

摘要翻译： 用于识别和识别位于商店环境的柜台和/或购物车的皮带上的物品的方法和计算机可读介质，用于减少/防止篮下损失，自动检查物品， 减少结帐时间，防止消费者欺诈，增加收入，更换常规UPC扫描系统，提升检出速度。 可以分析由视觉传感器拍摄的物体的图像，以使用尺度不变特征变换（SIFT）方法来提取特征。 然后，将所提取的特征与存储在数据库中的训练图像的特征进行比较以找到一组匹配。 基于一组匹配，这些项目被识别并与一个或多个指令，命令或动作相关联，而不需要人员直观地看到物品，例如必须从检出柜台后面出来或者对等 收银台。

公开(公告)号：US20060283943A1

公开(公告)日：2006-12-21

申请号：US11466371

申请日：2006-08-22

申请人： Jim Ostrowski ,  Luis Goncalves ,  Micheal Cremean ,  Alex Simonini ,  Alec Hudnut

发明人： Jim Ostrowski ,  Luis Goncalves ,  Micheal Cremean ,  Alex Simonini ,  Alec Hudnut

IPC分类号： G06K15/00 ,  G06K7/10

CPC分类号： G07F7/02 ,  A47F9/045 ,  G06Q20/343 ,  G07G1/0036 ,  G07G1/0063 ,  G07G3/00 ,  G07G3/003 ,  G08B13/1961 ,  G08B13/19671

摘要： Systems and methods for recognizing and identifying items located on the lower shelf of a shopping cart in a checkout lane of a retail store environment for the purpose of reducing or preventing loss or fraud and increasing the efficiency of a checkout process. The system includes one or more visual sensors that can take images of items and a computer system that receives the images from the one or more visual sensors and automatically identifies the items. The system can be trained to recognize the items using images taken of the items. The system relies on matching visual features from training images to match against features extracted from images taken at the checkout lane. Using the scale-invariant feature transformation (SIFT) method, for example, the system can compare the visual features of the images to the features stored in a database to find one or more matches, where the found one or more matches are used to identify the items.

摘要翻译： 为了减少或防止丢失或欺诈以及增加结帐过程的效率，识别和识别位于零售商店环境的结帐通道中的购物车的下架上的物品的系统和方法。 该系统包括可以拍摄物品图像的一个或多个视觉传感器和从一个或多个视觉传感器接收图像并自动识别物品的计算机系统。 可以使用拍摄的项目的图像来训练系统来识别物品。 系统依赖于训练图像的匹配视觉特征，以匹配从结帐通道上拍摄的图像提取的特征。 使用比例不变特征变换（SIFT）方法，例如，系统可以将图像的视觉特征与存储在数据库中的特征进行比较，以找到一个或多个匹配，其中发现的一个或多个匹配用于识别 的项目。

公开(公告)号：US08068674B2

公开(公告)日：2011-11-29

申请号：US11849503

申请日：2007-09-04

申请人： Luis Goncalves

发明人： Luis Goncalves

IPC分类号： G06K9/00 ,  G06K9/20 ,  G06K9/66 ,  G06K7/00 ,  G06K7/10

CPC分类号： A47F9/047 ,  G06K9/6211 ,  G06T7/001 ,  G06T2207/30108 ,  G07G1/0045 ,  G07G1/12

摘要： A system and method for detecting fraudulent identification tags, such as Universal Product Codes (UPC) applied to goods to be purchased is disclosed. Images of the goods to be purchased and corresponding feature models are stored in a database. When a customer desires to purchase an item containing a UPC, a scanned image of the item about to be purchased may be acquired and a feature model of the scanned image may be created. The system may retrieve from the database the image and feature model previously stored for the item associated with the just-scanned UPC. A variety of image processing techniques may be used to compare the scanned and database images and/or the scanned and database feature models. In one embodiment, these image processing techniques may include determining a geometric transformation that maps the features of the scanned image onto the features of a database model.

摘要翻译： 公开了一种用于检测应用于要购买的商品的通用产品代码（UPC）的欺诈性识别标签的系统和方法。 要购买的商品图像和相应的功能模型存储在数据库中。 当客户希望购买含有UPC的物品时，可以获取要购买的物品的扫描图像，并且可以创建扫描图像的特征模型。 系统可以从数据库中检索先前为与刚被扫描的UPC相关联的项目存储的图像和特征模型。 可以使用各种图像处理技术来比较扫描和数据库图像和/或扫描和数据库特征模型。 在一个实施例中，这些图像处理技术可以包括确定将扫描图像的特征映射到数据库模型的特征上的几何变换。

公开(公告)号：US07646887B2

公开(公告)日：2010-01-12

申请号：US11324957

申请日：2006-01-03

申请人： Luis Goncalves ,  Isaac Gremmer

发明人： Luis Goncalves ,  Isaac Gremmer

IPC分类号： G06K9/00 ,  G06K15/00

CPC分类号： G06K9/3233 ,  G06K2209/17

摘要： Disclosed is a system and method for using optical flow to detect objects moving past a camera and to select images of the moving objects. A shopping cart, for example, may be detected by subdividing an image into a plurality of image blocks; comparing the blocks to a preceding image to determine the motion of the portion of the object pictured; associating the most common motion with the shopping cart. The motion of the cart may also be integrated over time for purposes of tracking cart motion and selecting a subset of the captured images for object recognition processing. Detection of the cart and image selection improves computational efficiency an increase merchandise throughput.

摘要翻译： 公开了一种使用光流来检测通过相机移动的物体并选择移动物体的图像的系统和方法。 例如，可以通过将图像细分为多个图像块来检测购物车; 将块与先前图像进行比较以确定所描绘的对象的部分的运动; 将最常见的动作与购物车关联起来。 为了跟踪车厢运动和选择用于对象识别处理的所捕获的图像的子集，推车的运动也可随时间而被集成。 购物车和图像选择的检测提高了计算效率，从而提高了商品吞吐量。

公开(公告)号：US07242300B1

公开(公告)日：2007-07-10

申请号：US11209501

申请日：2005-08-23

申请人： Rolf A. Konstad ,  Jeffery W. Lawrence

发明人： Rolf A. Konstad ,  Jeffery W. Lawrence

IPC分类号： G08B13/14

CPC分类号： A47F9/045 ,  B62B3/1488 ,  B62B5/0096 ,  G06Q20/343 ,  G07F7/02 ,  G07G3/003

摘要： The present invention teaches and discloses method and apparatus for alerting a grocery store check out cashier of merchandise placed on the bottom tray of a typical grocery shopping cart. A passive RFID transponder is incorporated into the structure of the cart which when interrogated by an associated reader, located at the cashier's check out station, responds with a signal verifying the presence, or absence, of an unseen item upon the carts bottom tray.

摘要翻译： 本发明教导和公开了一种用于警告杂货店检查放置在典型杂货购物车的底部托盘上的商品的收银台的方法和装置。 无源RFID应答器被并入到购物车的结构中，当由收银员退房站的相关联的读取器进行询问时，用一个信号来验证购物车底部托盘上的未看见的物品的存在或不存在。

公开(公告)号：US08196822B2

公开(公告)日：2012-06-12

申请号：US13052965

申请日：2011-03-21

申请人： Luis Goncalves

发明人： Luis Goncalves

IPC分类号： G06K15/00

CPC分类号： G07G1/0063 ,  G07G1/0072 ,  G07G3/006

摘要： A system and method is disclosed for using object recognition/verification and weight information to confirm the accuracy of a UPC scan, or to provide an affirmative recognition where no UPC scan was made. In the preferred embodiment, the checkout system comprises: a universal product code (UPC) scanner configured to generate a product identifier; at least one camera for capturing one or more image of an item; a database of features and images of known objects; an image processor configured to: extract a plurality of geometric point features from the one or more images; identify matches between the extracted geometric point features and the features of known objects; generate a geometric transform between the extracted geometric point features and the features of known objects for a subset of known objects corresponding to matches; and identify one of the known objects based on a best match of the geometric transform; and a transaction processor configured to execute one of a predetermined set of actions if the identified object is different than the product identifier.

摘要翻译： 公开了一种用于使用对象识别/验证和权重信息来确认UPC扫描的准确性的系统和方法，或者在不进行UPC扫描的情况下提供肯定的识别。 在优选实施例中，结帐系统包括：通用产品代码（UPC）扫描器，被配置为生成产品标识符; 用于捕获物品的一个或多个图像的至少一个照相机; 已知对象的特征和图像的数据库; 图像处理器，其被配置为：从所述一个或多个图像中提取多个几何点特征; 识别所提取的几何点特征与已知对象的特征之间的匹配; 在提取的几何点特征和已知对象的特征之间生成对应于匹配的已知对象的子集的几何变换; 并基于几何变换的最佳匹配来识别已知对象之一; 以及交易处理器，被配置为如果所识别的对象不同于所述产品标识符，则执行预定动作集中的一个。

公开(公告)号：US20110215147A1

公开(公告)日：2011-09-08

申请号：US13052965

申请日：2011-03-21

申请人： Luis F. Goncalves

发明人： Luis F. Goncalves

IPC分类号： G06K15/00

CPC分类号： G07G1/0063 ,  G07G1/0072 ,  G07G3/006

摘要： A system and method is disclosed for using object recognition/verification and weight information to confirm the accuracy of a UPC scan, or to provide an affirmative recognition where no UPC scan was made. In the preferred embodiment, the checkout system comprises: a universal product code (UPC) scanner configured to generate a product identifier; at least one camera for capturing one or more image of an item; a database of features and images of known objects; an image processor configured to: extract a plurality of geometric point features from the one or more images; identify matches between the extracted geometric point features and the features of known objects; generate a geometric transform between the extracted geometric point features and the features of known objects for a subset of known objects corresponding to matches; and identify one of the known objects based on a best match of the geometric transform; and a transaction processor configured to execute one of a predetermined set of actions if the identified object is different than the product identifier.

摘要翻译： 公开了一种用于使用对象识别/验证和权重信息来确认UPC扫描的准确性的系统和方法，或者在不进行UPC扫描的情况下提供肯定的识别。 在优选实施例中，结帐系统包括：通用产品代码（UPC）扫描器，被配置为生成产品标识符; 用于捕获物品的一个或多个图像的至少一个照相机; 已知对象的特征和图像的数据库; 图像处理器，其被配置为：从所述一个或多个图像中提取多个几何点特征; 识别所提取的几何点特征与已知对象的特征之间的匹配; 在提取的几何点特征和已知对象的特征之间生成对应于匹配的已知对象的子集的几何变换; 并基于几何变换的最佳匹配来识别已知对象之一; 以及交易处理器，被配置为如果所识别的对象不同于所述产品标识符，则执行预定动作集中的一个。

公开(公告)号：US07920062B1

公开(公告)日：2011-04-05

申请号：US11805315

申请日：2007-05-22

申请人： Rolf A. Konstad ,  Jeffery W. Lawrence

发明人： Rolf A. Konstad ,  Jeffery W. Lawrence

IPC分类号： G08B13/14

CPC分类号： A47F9/045 ,  B62B3/1488 ,  B62B5/0096 ,  G06Q20/343 ,  G07F7/02 ,  G07G3/003

摘要： The present invention teaches and discloses method and apparatus for alerting a grocery store check out cashier of merchandise placed on the bottom tray of a typical grocery shopping cart. A passive RFID transponder is incorporated into the structure of the cart which when interrogated by an associated reader, located at the cashier's check out station, responds with a signal verifying the presence, or absence, of an unseen item upon the carts bottom tray.

摘要翻译： 本发明教导和公开了一种用于警告杂货店检查放置在典型杂货购物车的底部托盘上的商品的收银台的方法和装置。 无源RFID应答器被并入到购物车的结构中，当由收银员退房站的相关联的读取器进行询问时，用一个信号来验证购物车底部托盘上的未看见的物品的存在或不存在。

公开(公告)号：US07909248B1

公开(公告)日：2011-03-22

申请号：US12229069

申请日：2008-08-18

申请人： Luis Goncalves

发明人： Luis Goncalves

IPC分类号： G06K15/00

CPC分类号： G07G1/0063 ,  G07G1/0072 ,  G07G3/006

摘要： A system and method is disclosed for using object recognition/verification and weight information to confirm the accuracy of a UPC scan, or to provide an affirmative recognition where no UPC scan was made. In the preferred embodiment, the checkout system comprises: a universal product code (UPC) scanner configured to generate a product identifier; at least one camera for capturing one or more image of an item; a database of features and images of known objects; an image processor configured to: extract a plurality of geometric point features from the one or more images; identifying matches between the extracted geometric point features and the features of known objects; generate a geometric transform between the extracted geometric point features and the features of known objects for a subset of known objects corresponding to matches; and identify one of the known objects based on a best match of the geometric transform; and a transaction processor configured to execute one of a predetermined set of actions if the identified object is different than the product identifier.

摘要翻译： 公开了一种用于使用对象识别/验证和权重信息来确认UPC扫描的准确性的系统和方法，或者在不进行UPC扫描的情况下提供肯定的识别。 在优选实施例中，结帐系统包括：通用产品代码（UPC）扫描器，被配置为生成产品标识符; 用于捕获物品的一个或多个图像的至少一个照相机; 已知对象的特征和图像的数据库; 图像处理器，其被配置为：从所述一个或多个图像中提取多个几何点特征; 识别所提取的几何点特征与已知对象的特征之间的匹配; 在提取的几何点特征和已知对象的特征之间生成对应于匹配的已知对象的子集的几何变换; 并基于几何变换的最佳匹配来识别已知对象之一; 以及交易处理器，被配置为如果所识别的对象不同于所述产品标识符，则执行预定动作集中的一个。

公开(公告)号：US07819314B2

公开(公告)日：2010-10-26

申请号：US11466371

申请日：2006-08-22

申请人： Jim Ostrowski ,  Luis Goncalves ,  Michael Cremean ,  Alex Simonini ,  Alec Hudnut

发明人： Jim Ostrowski ,  Luis Goncalves ,  Michael Cremean ,  Alex Simonini ,  Alec Hudnut

IPC分类号： G06K15/00

摘要： Systems and methods for recognizing and identifying items located on the lower shelf of a shopping cart in a checkout lane of a retail store environment for the purpose of reducing or preventing loss or fraud and increasing the efficiency of a checkout process. The system includes one or more visual sensors that can take images of items and a computer system that receives the images from the one or more visual sensors and automatically identifies the items. The system can be trained to recognize the items using images taken of the items. The system relies on matching visual features from training images to match against features extracted from images taken at the checkout lane. Using the scale-invariant feature transformation (SIFT) method, for example, the system can compare the visual features of the images to the features stored in a database to find one or more matches, where the found one or more matches are used to identify the items.