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公开(公告)号：US20090059270A1
公开(公告)日：2009-03-05
申请号：US11849165
申请日：2007-08-31
IPC分类号： G06F3/12
CPC分类号： G06Q10/087 , G06K9/00
摘要： Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.
摘要翻译： 图像分析技术，包括对象识别分析，应用于由库存环境中部署的一个或多个图像采集设备获得的图像。 对象识别分析基于存储的产品（训练）图像提供对象识别数据（可以包括一个或多个识别的产品实例）。 反过来，可以基于对象识别数据来启用各种功能。 例如，可以提取平面图并将其与目标平面图相比较，或者可以确定产品的至少一个产品显示参数并用于评估产品在库存环境中的存在，或者确定产品显示的符合性 推广目标。 在另一个实施例中，可以在单个图像内或在多个图像之间进行比较，以检测需要响应的潜在条件。 以这种方式，可以提高许多以前的手动执行的任务的效率和有效性。
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公开(公告)号：US08189855B2
公开(公告)日：2012-05-29
申请号：US11849165
申请日：2007-08-31
CPC分类号： G06Q10/087 , G06K9/00
摘要： Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.
摘要翻译： 图像分析技术，包括对象识别分析，应用于由库存环境中部署的一个或多个图像采集设备获得的图像。 对象识别分析基于存储的产品（训练）图像提供对象识别数据（可以包括一个或多个识别的产品实例）。 反过来，可以基于对象识别数据来启用各种功能。 例如，可以提取平面图并将其与目标平面图相比较，或者可以确定产品的至少一个产品显示参数并用于评估产品在库存环境中的存在，或者确定产品显示的符合性 推广目标。 在另一个实施例中，可以在单个图像内或在多个图像之间进行比较，以检测需要响应的潜在条件。 以这种方式，可以提高许多以前的手动执行的任务的效率和有效性。
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公开(公告)号：US07580912B2
公开(公告)日：2009-08-25
申请号：US10167533
申请日：2002-06-12
CPC分类号： G06F17/3079 , G06F17/30811 , G06F17/30858
摘要： A performance data mining system combines detailed sensor analysis data with other data sources to discover interesting patterns/rules for performance and utilizes real time sensor analysis to dynamically derive mining results in real time during an event. The system automatically generates advice/strategy and predictions based on specified criteria.
摘要翻译： 性能数据挖掘系统将详细的传感器分析数据与其他数据源相结合，以发现有趣的性能模式/规则，并利用实时传感器分析在事件中实时动态获取挖掘结果。 系统根据指定的标准自动生成建议/策略和预测。
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公开(公告)号：US20090063307A1
公开(公告)日：2009-03-05
申请号：US11849180
申请日：2007-08-31
CPC分类号： G06Q10/087
摘要： Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.
摘要翻译： 图像分析技术，包括对象识别分析，应用于由库存环境中部署的一个或多个图像采集设备获得的图像。 对象识别分析基于存储的产品（训练）图像提供对象识别数据（可以包括一个或多个识别的产品实例）。 反过来，可以基于对象识别数据来启用各种功能。 例如，可以提取平面图并将其与目标平面图相比较，或者可以确定产品的至少一个产品显示参数并用于评估产品在库存环境中的存在，或者确定产品显示的符合性 推广目标。 在另一个实施例中，可以在单个图像内或在多个图像之间进行比较，以检测需要响应的潜在条件。 以这种方式，可以提高许多以前的手动执行的任务的效率和有效性。
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公开(公告)号：US20090063306A1
公开(公告)日：2009-03-05
申请号：US11849171
申请日：2007-08-31
IPC分类号： G06Q10/00
CPC分类号： G06Q10/087 , G06K9/00 , G06Q20/203 , G06Q20/208
摘要： Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.
摘要翻译： 图像分析技术，包括对象识别分析，应用于由库存环境中部署的一个或多个图像采集设备获得的图像。 对象识别分析基于存储的产品（训练）图像提供对象识别数据（可以包括一个或多个识别的产品实例）。 反过来，可以基于对象识别数据来启用各种功能。 例如，可以提取平面图并将其与目标平面图相比较，或者可以确定产品的至少一个产品显示参数并用于评估产品在库存环境中的存在，或者确定产品显示的符合性 推广目标。 在另一个实施例中，可以在单个图像内或在多个图像之间进行比较，以检测需要响应的潜在条件。 以这种方式，可以提高许多以前的手动执行的任务的效率和有效性。
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