Detecting content in a real-time video stream recorded by a detection unit

US11874871B2 · kind B2 · utility

Assignee

• MATROID, INC. · US

Inventors

• Reza Zadeh · Emerald Hills, US
• Ryan Wong · Palo Alto, US
• John Goddard · Mountain View, US
• Jiahang Li · Palo Alto, US
• Steven Chen · San Francisco, US
• Xiaoyun Yang · Zhaoyuan, CN

Key dates

• Filing date: Apr 12, 2023
• Grant date: Jan 16, 2024
• Expiry date: Apr 12, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/045
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.