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1. 发明申请

US20060283943A1 Systems and methods for merchandise checkout 有权
标题翻译：商品结帐的系统和方法
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。

2. 发明授权

US07819314B2 Systems and methods for merchandise checkout 有权
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.

3. 发明授权

US07100824B2 System and methods for merchandise checkout 有权
标题翻译：商品结帐的系统和方法
公开(公告)号：US07100824B2
公开(公告)日：2006-09-05
申请号：US11023004
申请日：2004-12-27
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
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。

4. 发明申请

US20130018741A1 SYSTEMS AND METHODS FOR MERCHANDISE CHECKOUT 审中-公开
标题翻译：用于商品检验的系统和方法
公开(公告)号：US20130018741A1
公开(公告)日：2013-01-17
申请号：US13610783
申请日：2012-09-11
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： G06Q20/20
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 reducing or preventing loss or fraud and increasing the efficiency of a checkout process efficiency. The system includes one or more visual sensors that can take images of items and a computer system that receives the images 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 extracted 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：用于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，用于减少或防止损失或欺诈，并提高结算过程效率的效率。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，系统可以将图像的提取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。

5. 发明授权

US08267316B2 Systems and methods for merchandise checkout 有权
标题翻译：商品结帐的系统和方法
公开(公告)号：US08267316B2
公开(公告)日：2012-09-18
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
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。

6. 发明申请

US20050189411A1 Systems and methods for merchandise checkout 有权
标题翻译：商品结帐的系统和方法
公开(公告)号：US20050189411A1
公开(公告)日：2005-09-01
申请号：US11023004
申请日：2004-12-27
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： A47F9/04 , G07F7/02 , G07G1/00 , G07G3/00 , G08B13/194 , G08B13/196 , G06K15/00
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。

7. 发明授权

US08448859B2 System and method for preventing cashier and customer fraud at retail checkout 有权
公开(公告)号：US08448859B2
公开(公告)日：2013-05-28
申请号：US12554630
申请日：2009-09-04
申请人： Luis Goncalves , Justin Beghtol , Isaac Gremmer , Jim Ostrowski
发明人： Luis Goncalves , Justin Beghtol , Isaac Gremmer , Jim Ostrowski
IPC分类号： G06K15/00
CPC分类号： G06K5/00 , G06K9/00771 , G07G1/0054 , G07G3/003 , G08B13/248
摘要： Systems and methods for preventing fraud during retail checkout are described. A system includes: item identifier acquisition devices to acquire identifiers (e.g., barcodes) of items to be transacted; cameras or imagers to acquire images of the items to be transacted; an object recognition component to perform visual recognition of the acquired items through comparison of the acquired images of the items with a database and obtain identifiers of items represented in the database that correspond to an acquired image according to a correspondence criterion; a comparison component to compare a set of identifiers acquired through the item identifier acquisition devices with a set of identifiers obtained through the object recognition component; and an alerting component to provide an alert in case of discrepancies between the two sets.

8. 发明申请

US20100059589A1 SYSTEM AND METHOD FOR PREVENTING CASHIER AND CUSTOMER FRAUD AT RETAIL CHECKOUT 有权
标题翻译：系统和方法，用于防止零售商和顾客在零售店检查
公开(公告)号：US20100059589A1
公开(公告)日：2010-03-11
申请号：US12554630
申请日：2009-09-04
申请人： Luis Goncalves , Justin Beghtol , Isaac Gremmer , Jim Ostrowski
发明人： Luis Goncalves , Justin Beghtol , Isaac Gremmer , Jim Ostrowski
IPC分类号： G06K15/00 , G06K9/68
CPC分类号： G06K5/00 , G06K9/00771 , G07G1/0054 , G07G3/003 , G08B13/248
摘要： Systems and methods for preventing fraud during retail checkout are described. A system includes: item identifier acquisition devices to acquire identifiers (e.g., barcodes) of items to be transacted; cameras or imagers to acquire images of the items to be transacted; an object recognition component to perform visual recognition of the acquired items through comparison of the acquired images of the items with a database and obtain identifiers of items represented in the database that correspond to an acquired image according to a correspondence criterion; a comparison component to compare a set of identifiers acquired through the item identifier acquisition devices with a set of identifiers obtained through the object recognition component; and an alerting component to provide an alert in case of discrepancies between the two sets.
摘要翻译：描述了在零售结帐期间防止欺诈的系统和方法。系统包括：项目标识符获取装置，用于获取要处理的项目的标识符（例如条形码）; 摄像机或摄像机获取要处理的物品的图像; 对象识别部件，通过将所获取的图像与数据库进行比较来进行所获取的项目的视觉识别，并根据对应标准获得与所获取的图像对应的数据库中表示的项目的标识符; 比较组件，用于将通过所述项目标识符获取设备获取的一组标识符与通过所述对象识别组件获得的一组标识符进行比较; 以及在两组之间的差异的情况下提供警报的警报组件。

9. 发明申请

US20110286628A1 SYSTEMS AND METHODS FOR OBJECT RECOGNITION USING A LARGE DATABASE 审中-公开
标题翻译：使用大型数据库进行目标识别的系统和方法
公开(公告)号：US20110286628A1
公开(公告)日：2011-11-24
申请号：US13107824
申请日：2011-05-13
申请人： Luis F. Goncalves , Jim Ostrowski , Robert Boman
发明人： Luis F. Goncalves , Jim Ostrowski , Robert Boman
IPC分类号： G06K9/00 , G06K9/68
CPC分类号： G06F16/5838
摘要： A method of organizing a set of recognition models of known objects stored in a database of an object recognition system includes determining a classification model for each known object and grouping the classification models into multiple classification model groups. Each classification model group identifies a portion of the database that contains the recognition models of the known objects having classification models that are members of the classification model group. The method also includes computing a representative classification model for each classification model group. Each representative classification model is derived from the classification models that are members of the classification model group. When a target object is to be recognized, the representative classification models are compared to a classification model of the target object to enable selection of a subset of the recognition models of the known objects for comparison to a recognition model of the target object.
摘要翻译：组织存储在对象识别系统的数据库中的已知对象的一组识别模型的方法包括确定每个已知对象的分类模型，并将分类模型分组为多个分类模型组。每个分类模型组标识包含具有作为分类模型组的成员的分类模型的已知对象的识别模型的数据库的一部分。该方法还包括计算每个分类模型组的代表性分类模型。每个代表性分类模型是从作为分类模型组成员的分类模型推导出来的。当要识别目标对象时，将代表性分类模型与目标对象的分类模型进行比较，以使得能够选择已知对象的识别模型的子集以与目标对象的识别模型进行比较。

10. 发明授权

US07337960B2 Systems and methods for merchandise automatic checkout 有权
标题翻译：商品自动结帐的系统和方法
公开(公告)号：US07337960B2
公开(公告)日：2008-03-04
申请号：US10554516
申请日：2005-02-28
申请人： Jim Ostrowski , Mario Munich , John Wiseman
发明人： Jim Ostrowski , Mario Munich , John Wiseman
IPC分类号： G06K15/00
CPC分类号： G07G1/0054 , A47F9/048 , A47F11/10 , A47F2009/041 , G06K9/00 , G06K2209/17
摘要： Systems and methods for automatically checking out items located on a moving conveyor belt for the purpose of increasing the efficiency of a checkout process and revenue at a point-of-sale. The system includes a conveyor subsystem for moving the items, a housing that enclosed a portion of the conveyor subsystem, a lighting subsystem that illuminates an area within the housing, visual sensors that can take images of the items including UPCs, and a checkout system that receives the images from the visual sensors and automatically identifies the items. The system may include a scale subsystem located under the conveyor subsystem to measure the weights of the items, where the weight of each item is used to check if the corresponding item is identified correctly. The system relies on matching visual features from images stored in a database to match against features extracted from images taken by the visual sensors.
摘要翻译：用于自动检查位于移动的传送带上的物品的系统和方法，以提高结算过程的效率和销售点的收入。该系统包括用于移动物品的输送机子系统，封闭输送机子系统的一部分的壳体，照亮壳体内的区域的照明子系统，可以拍摄包括UPC的物品的图像的视觉传感器以及检查系统，从视觉传感器接收图像并自动识别物品。该系统可以包括位于输送机子系统下面的比例子系统，用于测量物品的重量，其中每个物品的重量用于检查相应物品是否被正确识别。该系统依赖于存储在数据库中的图像的匹配视觉特征，以匹配从视觉传感器拍摄的图像中提取的特征。

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