Apple inc. (20240212343). CONTEXTUALIZED VISUAL SEARCH simplified abstract

CONTEXTUALIZED VISUAL SEARCH

Organization Name

apple inc.

Inventor(s)

Divine Keetle-maloney of Santa Clara CA (US)

Steven A. Marchette of Saratoga CA (US)

David Hobbins of Venice CA (US)

CONTEXTUALIZED VISUAL SEARCH - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240212343 titled 'CONTEXTUALIZED VISUAL SEARCH

The patent application describes devices, systems, and methods that provide a view of a physical environment with a visual effect based on determining whether an object is a searched-for object.

• Determining an objective corresponding to identifying a searched-for object in a physical environment.
• Obtaining depth-based data from sensors in the physical environment.
• Determining whether a first object in the physical environment is the searched-for object based on the determined objective and depth-based data.
• Providing a view of the physical environment with a visual effect based on the determination of whether the first object is the searched-for object.

1. 1. 1. Potential Applications:

This technology could be used in security systems to identify specific objects or individuals in a crowded environment. It could also have applications in augmented reality games or interactive displays.

1. 1. 1. Problems Solved:

This technology addresses the challenge of quickly and accurately identifying specific objects in a complex physical environment.

1. 1. 1. Benefits:

The technology offers enhanced efficiency in object recognition tasks, leading to improved security measures and interactive user experiences.

1. 1. 1. Commercial Applications:

Title: Enhanced Object Recognition Technology for Security Systems This technology could be commercialized for use in security systems for airports, public events, or high-security facilities. It could also be integrated into interactive advertising displays for retail environments.

1. 1. 1. Prior Art:

Prior art related to this technology may include research on object recognition systems, depth-based imaging technologies, and augmented reality applications.

1. 1. 1. Frequently Updated Research:

Researchers are continually exploring advancements in object recognition algorithms, sensor technologies, and augmented reality applications that could enhance the capabilities of this technology.

1. 1. 1. 1. Questions about Object Recognition Technology:

1. How does this technology improve upon existing object recognition systems? 2. What are the potential limitations of using depth-based data for object identification?

Original Abstract Submitted

various implementations disclosed herein include devices, systems, and methods that provide a view of a physical environment with a visual effect based on determining whether an object is a searched-for object. for example, an example process may include determining an objective corresponding to identifying a searched-for object in a physical environment including one or more objects. the process may further include obtaining depth-based data based on sensor data captured by one or more sensors in the physical environment. the process may further include determining, based on the determined objective and the depth-based data, whether a first object in the physical environment is the searched-for object. the process may further include, in accordance with determining whether the first object is the searched-for object, providing a view of the physical environment with a visual effect.