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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。

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