18158969. SYSTEMS AND METHODS OF USING CACHED IMAGES TO DETERMINE PRODUCT COUNTS ON PRODUCT STORAGE STRUCTURES OF A PRODUCT STORAGE FACILITY simplified abstract (Walmart Apollo, LLC)

SYSTEMS AND METHODS OF USING CACHED IMAGES TO DETERMINE PRODUCT COUNTS ON PRODUCT STORAGE STRUCTURES OF A PRODUCT STORAGE FACILITY

Organization Name

Walmart Apollo, LLC

Inventor(s)

Zhaoliang Duan of Frisco TX (US)

Benjamin R. Ellison of San Francisco CA (US)

Lingfeng Zhang of Dallas TX (US)

Avinash M. Jade of Bangalore (IN)

Raghava Balusu of Achanta (IN)

Mingquan Yuan of Flower Mound TX (US)

Zhichun Xiao of Plano TX (US)

SYSTEMS AND METHODS OF USING CACHED IMAGES TO DETERMINE PRODUCT COUNTS ON PRODUCT STORAGE STRUCTURES OF A PRODUCT STORAGE FACILITY - A simplified explanation of the abstract

This abstract first appeared for US patent application 18158969 titled 'SYSTEMS AND METHODS OF USING CACHED IMAGES TO DETERMINE PRODUCT COUNTS ON PRODUCT STORAGE STRUCTURES OF A PRODUCT STORAGE FACILITY

The patent application describes systems and methods for detecting and recognizing products on product storage structures in a facility using an image capture device and a computing device.

• Image capture device moves around and captures images of product storage structures.
• Computing device processes images to detect and identify products, crops each product to generate cropped images.
• Generates image histogram template, feature vector template, and location information template for each cropped image.
• Stores cropped images in an electronic database as a reference model for identified products.
• Cropped images are stored with templates to facilitate recognition of products in the future.

1. 1. 1. Potential Applications:

This technology can be applied in warehouses, retail stores, and manufacturing facilities for inventory management and product recognition.

1. 1. 1. Problems Solved:

This technology streamlines the process of identifying and recognizing products on storage structures, improving efficiency and accuracy in inventory management.

1. 1. 1. Benefits:

- Enhanced inventory management - Increased efficiency in product recognition - Improved accuracy in tracking products on storage structures

1. 1. 1. Commercial Applications:

Title: Automated Product Recognition System for Inventory Management This technology can be utilized in warehouses, retail stores, and manufacturing facilities to automate product recognition and improve inventory management processes.

1. 1. 1. Prior Art:

Researchers can explore existing patents related to image recognition systems and inventory management technologies to understand the background of this innovation.

1. 1. 1. Frequently Updated Research:

Researchers in the field of computer vision and artificial intelligence may be conducting studies on improving image recognition algorithms for similar applications.

1. 1. 1. 1. Questions about Product Recognition Technology:

1. How does this technology impact the efficiency of inventory management processes?

  - This technology significantly improves efficiency by automating the product recognition process and enhancing accuracy in inventory tracking.
  

2. What are the potential cost-saving benefits of implementing this product recognition system?

  - By streamlining inventory management processes and reducing manual labor, businesses can save costs associated with labor and inventory discrepancies.

Original Abstract Submitted

Systems and methods of detecting and recognizing products on product storage structures of a product storage facility include an image capture device that moves about and captures images of the product storage structures at the product storage facility. A computing device processes the obtained images to detect and identify the products on the product storage structure, crops each of the identified individual products from the image to generate a plurality of cropped images and generates an image histogram template, feature vector template and location information template for each of the cropped images. The cropped images are stored in an electronic database and represent a reference model for each of the identified individual products and are stored in association with the generated image histogram template, feature vector template and location information template to facilitate recognition of products subsequently captured on the product storage structure by the image capture device.