Intelligent Visual Search for Next-Generation Application Launching

Publication ID: 24-11857879_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Visual Search for Next-Generation Application Launching,” Published Technical Disclosure No. 24-11857879_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857879_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,879.

Summary of the Inventive Concept

An innovative system leveraging neural network-based visual identifier generation, augmented reality, and machine learning-based image processing to revolutionize the way computer applications are launched, providing a seamless and personalized user experience.

Background and Problem Solved

The original patent disclosed a method for launching computer applications using visual identifiers. However, this approach had limitations in terms of user experience, security, and adaptability. The new inventive concept addresses these limitations by introducing advanced technologies to create a more efficient, secure, and personalized application launching system.

Detailed Description of the Inventive Concept

The system comprises a neural network-based visual identifier generator, a visual search module, and a verification module. The generator creates unique visual identifiers representing computer applications, which are then searched using augmented reality-enabled devices or machine learning-based image processing. Upon successful verification of the computing device, the associated computer application is launched. This approach enables a seamless and secure user experience, while also allowing for personalized visual identifiers based on user profiles.

Novelty and Inventive Step

The new claims introduce the use of neural networks, augmented reality, and machine learning-based image processing, which are not present in the original patent. These advancements provide a significant improvement in user experience, security, and adaptability, making the new inventive concept novel and non-obvious.

Alternative Embodiments and Variations

Alternative embodiments may include using different types of machine learning algorithms, incorporating additional user data for personalized visual identifiers, or integrating the system with other technologies such as voice assistants or biometric authentication.

Potential Commercial Applications and Market

The intelligent visual search system has vast commercial potential in the gaming, social media, and productivity industries, enabling companies to provide a more seamless and personalized user experience, while also increasing security and adaptability.

CPC Classifications

SectionClassGroup
A A63 A63F13/537
G G06 G06F3/0482
G G08 G08B5/22

Field of Art

Computer-implemented application launching systems, focusing on visual search technologies, user interface design, and interactive media platforms, with expertise in neural networks, augmented reality, and machine learning image processing techniques

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in computer science, software engineering, or human-computer interaction, possessing comprehensive knowledge of mobile application development, visual search algorithms, and emerging interaction paradigms

Obviousness Rationale

A PHOSITA would recognize that integrating neural network-based visual identifier generation and augmented reality into the existing visual search application launching framework represents a predictable technological evolution. The source patent establishes the foundational concept of launching applications via visual identifiers, while the PTD introduces well-known machine learning and AR technologies as incremental improvements. These variations represent standard technological progression within the domain of interactive application interfaces.

Obvious Combinations & Variations

Source Patent Element
Visual identifier encoding representing a computer application
PTD Variation
Neural network-based visual identifier generation with personalization based on user profiles
Obviousness Reasoning
Customizing visual identifiers using machine learning is a known technique for enhancing user experience, representing a predictable application of existing technological capabilities
Source Patent Element
Visual search functionality within a messaging application
PTD Variation
Augmented reality-enabled visual search with device verification
Obviousness Reasoning
Integrating AR technologies into existing visual search frameworks represents a logical extension of known interaction design principles, providing enhanced user engagement through emerging interface technologies
Source Patent Element
Application launching triggered by visual identifier recognition
PTD Variation
Machine learning-based image processing for visual identifier verification
Obviousness Reasoning
Employing advanced image processing techniques to improve identifier recognition is a standard optimization approach within computer vision and application launching domains
Source Patent Element
User-configurable visual identifiers
PTD Variation
Dynamic visual identifier generation using neural networks and user profile data
Obviousness Reasoning
Leveraging user-specific data to generate personalized visual identifiers represents a predictable design choice for enhancing user interaction and system adaptability
Source Patent Element
Application launching through visual search interface
PTD Variation
Comprehensive visual identifier database with multi-stage verification process
Obviousness Reasoning
Creating structured databases with enhanced verification mechanisms is a standard approach to improving system security and reliability in application launching technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857879 and the comprehensive technical disclosure herein, a person having ordinary skill in the art would find the claimed variations obvious and lacking inventive step. The incremental technological improvements, including neural network-based visual identifier generation, augmented reality integration, and machine learning image processing, represent predictable extensions of existing visual search and application launching methodologies, thereby rendering potential derivative claims obvious and non-patentable.

Original Patent Information

Patent NumberUS 11,857,879
TitleVisual search to launch application
Assignee(s)Snap Inc.