Walmart Apollo, LLC

Issac Mathew

Pushkar Pushp

Rahul Agarwal

Gaurav Savlani

Viraj C Patel

Venkataraja Nellore

Joshua T Bohling

Chuck E Tilmon

Jennifer McTeer

Girish Thiruvenkadam

Shivani Naik

Emily Moneka Francis Xavier

Emily Xavier

Daniel J Pumford

Brian J A Schardt

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.

System and method for produce detection and classification

In some embodiments, apparatuses, systems, and methods are provided herein useful to assessing products. In some embodiments, an enclosure for use in assessing products comprises a housing including a door configured to allow placement of a product within the housing, a product holding surface located within the housing allowing pictures to be taken through the product holding surface and configured to support the product, a first image capture device configured to capture an image of the product from a first perspective, a second image capture device configured to capture an image of the product from a second perspective, and wherein the image of the product from the second perspective is captured through the product holding surface, and a lighting element, wherein the lighting element is located within the housing, and wherein the lighting element is configured to provide lighting within the housing.

Systems and methods for assessing products

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Bengaluru, India

Issac Mathew