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1. 发明申请

US20050189412A1 Method of merchandising for checkout lanes 有权
标题翻译：结帐通道的销售方法
公开(公告)号：US20050189412A1
公开(公告)日：2005-09-01
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： G07F7/02 , G07G1/00 , G08B13/194 , 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。

2. 发明授权

US07246745B2 Method of merchandising for checkout lanes 有权
标题翻译：结帐通道的销售方法
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。

3. 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.

4. 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。

5. 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。

6. 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。

7. 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。

8. 发明申请

US20110046981A1 GOALS AND PROGRESS TRACKING FOR RECOVERY BASED SOCIAL NETWORKING 审中-公开
标题翻译：基于恢复的社会网络的目标和进度跟踪
公开(公告)号：US20110046981A1
公开(公告)日：2011-02-24
申请号：US12831132
申请日：2010-07-06
申请人： David Metzler , Rand Pipp , Benjamin Cote , Michael Cremean , Victor Tyrone Lam , Andrew Paxlon , Christopher Williams
发明人： David Metzler , Rand Pipp , Benjamin Cote , Michael Cremean , Victor Tyrone Lam , Andrew Paxlon , Christopher Williams
IPC分类号： G06Q50/00
CPC分类号： G06Q50/24 , G06Q30/02 , G16H10/60 , G16H50/20 , G16H80/00 , H04L51/32
摘要： Systems and methods for recovery based social networking are presented. Users of the social network platform can select different goals that are tracked via the social networking platform. In addition, healthcare professionals and supporters can make goals for users that are similarly tracked. Individualized discharge plans can be created for users to track and support recovery on an individualized basis. Location based services can be used to verify completion of goals and the discharge plan.
摘要翻译：介绍了基于恢复的社交网络的系统和方法。社交网络平台的用户可以选择通过社交网络平台跟踪的不同目标。此外，医护人员和支持者可以为同样追踪的用户制定目标。可以创建个性化排放计划，供用户个性化跟踪和支持恢复。基于位置的服务可用于验证目标完成和排放计划。

9. 发明申请

US20110047508A1 STATUS INDICATORS AND CONTENT MODULES FOR RECOVERY BASED SOCIAL NETWORKING 审中-公开
标题翻译：基于恢复的社会网络的状态指标和内容模块
公开(公告)号：US20110047508A1
公开(公告)日：2011-02-24
申请号：US12831125
申请日：2010-07-06
申请人： David Metzler , Rand Pipp , Benjamin Cote , Michael Cremean , Victor Tyrone Lam , Andrew Paxton , Christopher Williams
发明人： David Metzler , Rand Pipp , Benjamin Cote , Michael Cremean , Victor Tyrone Lam , Andrew Paxton , Christopher Williams
IPC分类号： G06F3/048
CPC分类号： G06Q50/24 , G06Q30/02 , G16H10/60 , G16H50/20 , G16H80/00 , H04L51/32
摘要： Systems and methods for recovery based social networking are presented. Users of the social network platform are presented with selectable status indicators relating to their recovery. The selected indicators are shared with user selected supporters and health care professionals so that the supporters and healthcare professionals can support recovery. Automated analysis of the users' interactions with the social networking is also performed to predict when users will need additional support so that the supporters and healthcare professionals can be notified.
摘要翻译：介绍了基于恢复的社交网络的系统和方法。社交网络平台用户可以看到与恢复相关的可选状态指示。所选择的指标与用户选定的支持者和保健专业人员共享，以便支持者和医疗保健专业人员能够支持恢复。还进行用户与社交网络交互的自动分析，以预测用户何时需要额外的支持，以便可以通知支持者和医疗保健专业人员。

10. 发明申请

US20110047404A1 ANALYSIS AND PREDICTION SYSTEMS AND METHODS FOR RECOVERY BASED SOCIAL NETWORKING 审中-公开
标题翻译：基于恢复的社会网络分析与预测系统及方法
公开(公告)号：US20110047404A1
公开(公告)日：2011-02-24
申请号：US12831135
申请日：2010-07-06
申请人： David Metzler , Rand Pipp , Benjamin Cote , Michael Cremean , Victor Tyrone Lam , Andrew Paxton , Christopher Williams
发明人： David Metzler , Rand Pipp , Benjamin Cote , Michael Cremean , Victor Tyrone Lam , Andrew Paxton , Christopher Williams
IPC分类号： G06F11/07
CPC分类号： G06Q50/24 , G06Q30/02 , G16H10/60 , G16H50/20 , G16H80/00 , H04L51/32
摘要： Systems and methods for recovery based social networking are presented. An analysis module analyzes past and current activity of users on the social networking platform. The analysis module predicts, based on user activity, when particular users will need support from user identified supporters and healthcare professionals. The analysis module sends alert messages to the pre-determined supporters and healthcare professionals soliciting support responsive to the predictions.
摘要翻译：介绍了基于恢复的社交网络的系统和方法。分析模块分析用户在社交网络平台上的过去和当前活动。分析模块基于用户活动预测特定用户何时需要用户识别的支持者和医疗保健专业人员的支持。分析模块向预先确定的支持者和医疗保健专业人员发送警报信息，以响应于预测来请求支持。

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