Walmart Apollo, LLC

Samsung Electronics Co., Ltd.

Abhinav Pachauri

Lingfeng Zhang

Avinash Madhusudanrao Jade

Raghava Balusu

Zhaoliang Duan

Amit Jhunjhunwala

Srinivas Muktevi

Han Zhang

Ashlin Ghosh

Mingquan Yuan

William Craig Robinson

Wei Wang

Benjamin R Ellison

Feiyun Zhu

Tianyi Mao

Ravindra Jain

Nitin Barthwal

Pankaj Gupta

Zhiwei Huang

Arshiyan Alam

Michael Alvin Schubert, Jr

Huanyu Zang

Vincent St Jon Cucco

Examples provide an archway truss for supporting devices, such as sensor devices generating sensor data for objects passing through the archway and a digital display device displaying dynamic content to users moving through the archway. The archway truss includes vertical support members attached to a horizontal top member. A central support member is reinforced to protect against cart impacts. Cameras are attached to the archway truss and positioned to capture images of objects in carts moving through the archway truss. Radio frequency identification (RFID) tag readers and other sensor devices are removably attached to the archway truss to gather item identification data for objects in the carts. Pairs of wing barriers are provided for each vertical support to block the field of view of the cameras from objects outside the lanes formed by the archway truss. An exterior covering provides padding to protect users contacting the archway truss.

Archway truss device with interactive exit lanes

Systems and methods of creating reference template images for detecting and recognizing products at a product storage facility include an image capture device having a field of view that includes a product storage structure of the product storage facility, and a computing device including a control circuit and being communicatively coupled to the image capture device. The computing device obtains images of the product storage structure captured by the image capture device, analyzes the obtained images to detect individual ones of the products located on the product storage structure. Then, the computing device identifies the individual ones of the products detected in the images and crops each of the individual ones of the identified products from the images to generate cropped images. The computing device then creates a cluster of the cropped images, and selects one of the cropped images as a reference template image of an identified individual product.

Methods and systems for creating reference image templates for identification of products on product storage structures of a product storage facility

Systems and methods of updating templates for use in recognizing individual products in images captured at a product storage facility include an image capture device that captures one or more images of product storage structure at a product storage facility, a computing device in communication with the image capture device, and an electronic database that stores keyword model templates and feature model templates associated with images of previously recognized individual products detected at the product storage facility. The computing device obtains the keyword and feature model templates associated with a recognized product from the electronic database, extracts the keywords from the products associated with the obtained keyword model templates, identifies products that are similar to the recognized product, and updates the keyword model template for each of the products to include must keywords and negative keywords, facilitating recognition of products in subsequent images captured by the image capture device.

Systems and methods of updating model templates associated with images of retail products at product storage facilities

Systems and methods of monitoring inventory of a product storage facility include an image capture device configured to move about the product storage areas of the product storage facility and capture images of the product storage areas from various angles. A computing device coupled to the image capture device obtains the images of the product storage areas captured by the image capture device and processes the obtained images of the product storage areas to detect individual products captured in the obtained images. Based on detection of the individual products captured in the images, the computing device analyzes each of the obtained images to extract meta data from the packaging the individual products to detect one more keywords and determine the locations of the detected keywords on the packaging, and then utilize this information to predict an identity of the products associated with the packaging.

Systems and methods of identifying individual retail products in a product storage area based on an image of the product storage area

A method for managing operations on data presented on a display is presented. The method includes detecting data presented on the display of the electronic device; determining reading parameters associated with the data; performing a plurality of operations based on the reading parameters, wherein the reading parameters comprises at least one of a complete screen reading time taken by a user to completely read the data presented on the display of the electronic device, a partial screen reading time taken by the user to read at least one portion of the data, a scroll distance per one scrolling action on the display, or a data reading time which is a time taken to completely read the data presented on the display.

Method and apparatus for managing display of readable data presented in a portion of a display

Growing community of inventors

Kanpur, India

Abhinav Pachauri