Systems and methods for detecting content in images using neural network architectures

US10810726B2 · kind B2 · utility

Assignee

• Walmart Apollo, LLC · US

Inventors

• Samrat Kokkula · Santa Clara, US
• Shreyansh Prakash Gandhi · Milpitas, US
• Abon Chaudhuri · Sunnyvale, US
• Theban Stanley · San Bruno, US
• Behzad Ahmadi · San Jose, US
• Venkatesh Kandaswamy · San Ramon, US
• Alessandro Magnani · Menlo Park, US
• Omer Ovenc · San Jose, US

Key dates

• Filing date: Jan 30, 2019
• Grant date: Oct 20, 2020
• Expiry date: Mar 29, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20084
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: receiving an image at a first-level analysis component comprising a first neural network structure; analyzing, using the first neural network structure of the first-level analysis component, the image to determine an image category associated with the image; selecting at least one second-level analysis component that is associated with the image category to analyze the image; analyzing, using a second neural network structure associated with the at least one second-level analysis component that was selected, the image to determine whether the image includes non-compliant content; and in response to determining that the image includes non-compliant content, executing a corrective measure. Other embodiments are disclosed herein.