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    • 1. 发明申请
    • Systems and methods for merchandise checkout
    • 商品结帐的系统和方法
    • US20060283943A1
    • 2006-12-21
    • US11466371
    • 2006-08-22
    • Jim OstrowskiLuis GoncalvesMicheal CremeanAlex SimoniniAlec Hudnut
    • Jim OstrowskiLuis GoncalvesMicheal CremeanAlex SimoniniAlec Hudnut
    • G06K15/00G06K7/10
    • G07F7/02A47F9/045G06Q20/343G07G1/0036G07G1/0063G07G3/00G07G3/003G08B13/1961G08B13/19671
    • 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.
    • 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. 发明申请
    • SYSTEMS AND METHODS FOR MERCHANDISE CHECKOUT
    • 用于商品检验的系统和方法
    • US20130018741A1
    • 2013-01-17
    • US13610783
    • 2012-09-11
    • Jim OstrowskiLuis GoncalvesMichael CremeanAlex SimoniniAlec Hudnut
    • Jim OstrowskiLuis GoncalvesMichael CremeanAlex SimoniniAlec Hudnut
    • G06Q20/20
    • G07F7/02A47F9/045G06Q20/343G07G1/0036G07G1/0063G07G3/00G07G3/003G08B13/1961G08B13/19671
    • 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.
    • 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。
    • 3. 发明授权
    • Systems and methods for merchandise checkout
    • 商品结帐的系统和方法
    • US08267316B2
    • 2012-09-18
    • US11466371
    • 2006-08-22
    • Jim OstrowskiLuis GoncalvesMichael CremeanAlex SimoniniAlec Hudnut
    • Jim OstrowskiLuis GoncalvesMichael CremeanAlex SimoniniAlec Hudnut
    • G06K15/00
    • G07F7/02A47F9/045G06Q20/343G07G1/0036G07G1/0063G07G3/00G07G3/003G08B13/1961G08B13/19671
    • 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.
    • 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. 发明授权
    • System and methods for merchandise checkout
    • 商品结帐的系统和方法
    • US07100824B2
    • 2006-09-05
    • US11023004
    • 2004-12-27
    • Jim OstrowskiLuis GoncalvesMichael CremeanAlex SimoniniAlec Hudnut
    • Jim OstrowskiLuis GoncalvesMichael CremeanAlex SimoniniAlec Hudnut
    • G06K15/00
    • G07F7/02A47F9/045G06Q20/343G07G1/0036G07G1/0063G07G3/00G07G3/003G08B13/1961G08B13/19671
    • 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.
    • 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。
    • 8. 发明申请
    • SYSTEM AND METHOD FOR PREVENTING CASHIER AND CUSTOMER FRAUD AT RETAIL CHECKOUT
    • 系统和方法,用于防止零售商和顾客在零售店检查
    • US20100059589A1
    • 2010-03-11
    • US12554630
    • 2009-09-04
    • Luis GoncalvesJustin BeghtolIsaac GremmerJim Ostrowski
    • Luis GoncalvesJustin BeghtolIsaac GremmerJim Ostrowski
    • G06K15/00G06K9/68
    • G06K5/00G06K9/00771G07G1/0054G07G3/003G08B13/248
    • 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.
    • 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。