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US Patent 8189855 Planogram extraction based on image processing

Patent 8189855 was granted and assigned to Accenture on May, 2012 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Current Assignee
Accenture
Accenture
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
8189855
Date of Patent
May 29, 2012
Patent Application Number
11849165
Date Filed
August 31, 2007
Patent Citations Received
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US Patent 12131539 Detecting interactions from features determined from sequences of images captured using one or more cameras
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US Patent 12104844 Intelligent marketing and advertising platform
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US Patent 12111889 Automated and periodic updating of item images data store
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US Patent 12118510 Intelligent marketing and advertising platform
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US Patent 11656833 Shelving display
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US Patent 11659265 Dual camera module systems
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US Patent 11657595 Detecting and locating actors in scenes based on degraded or supersaturated depth data
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US Patent 11669803 Item movement based on weight transfer
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Patent Primary Examiner
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Bhavesh Mehta
Patent abstract

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.

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