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US Patent 11393082 System and method for produce detection and classification

Patent 11393082 was granted and assigned to Walmart on July, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Walmart
Walmart
Current Assignee
Walmart
Walmart
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11393082
Date of Patent
July 19, 2022
Patent Application Number
16521741
Date Filed
July 25, 2019
Patent Citations
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US Patent 10089556 Self-attention deep neural network for action recognition in surveillance videos
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US Patent 10423918 Actively managed food delivery
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US Patent 10445684 Actively managed food delivery
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US Patent 10452959 Multi-perspective detection of objects
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US Patent 10466111 Systems and methods for monitoring temperature or movement of merchandise
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US Patent 10546162 User-filtered RFID inventory
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US Patent 10552654 Support for the reposition and finding of objects in a repository facility
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US Patent 10572851 Methods, apparatus, and systems for generating a pickup notification related to an inventory item
...
Patent Citations Received
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US Patent 12106261 Systems and methods for condition compliance
0
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US Patent 11887366 Object analysis
0
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US Patent 11568230 Method and device for food risk traceability information classification, and computer readable storage medium
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US Patent 11836674 Automated inspection system
0
Patent Primary Examiner
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Siamak Harandi
CPC Code
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G06K 9/6267
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G06N 3/0454
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G06T 2207/30128
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G06T 2207/20081
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G06T 7/0004
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G06T 2207/20084

Systems, methods, and computer-readable storage media for object detection and classification, and particularly produce detection and classification. A system configured according to this disclosure can receiving, at a processor, an image of an item. The system can then perform, across multiple pre-trained neural networks, feature detection on the image, resulting in feature maps of the image. These feature maps can be concatenated and combined, then input into an additional neural network for feature detection on the combined feature map, resulting in tiered neural network features. The system then classifies, via the processor, the item based on the tiered neural network features.

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