Unified Mobile App Platform for Cross-Platform Compatibility
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Solution Overview
Problem
Mobile applications often lack timely updates, leading to low usage statistics and eventual decommissioning, and there is a need for accessing these applications across multiple platforms, including desktops, smart TVs, and game consoles, with timely updates for popular apps.
Innovation Solution
A method and apparatus that combine multiple mobile applications to create an improved version, allowing access on various platforms through a bespoke mobile application store, which provides statistics and enables user selection, sorting, and updating of improved apps, using an emulator if necessary, and involves unpacking, disassembling, modifying, and reassembling the app components to ensure compatibility and functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a mobile application is developed for a specific mobile platform, then it can provide platform-optimized functionality, but it cannot be accessed on other operating platforms without additional development
Solution Approach 1:
The patent creates an improved mobile application that functions across multiple operating platforms (iOS, Android, Windows, Mac OS, smart TV, game console) by combining multiple platform-specific applications into a single universal application that adapts to different platforms through an emulator or compatibility layer
2Productivity
If a developer does not provide timely updates, then development resources can be conserved, but the application becomes obsolete and loses user engagement
Solution Approach 1:
The patent combines multiple mobile applications from different developers into a single improved mobile application, allowing aggregated updates that incorporate functionalities from all component applications. This enables more frequent updates without proportionally increasing individual developer resource consumption
Solution Approach 2:
The system automatically detects, downloads, and integrates updates from multiple source applications, reducing the manual effort required for update management and enabling timely updates without significant additional development resources
3Adaptability or versatility
If multiple mobile applications are combined into one improved application, then functionality and update frequency improve, but application structure and naming become more complex
Solution Approach 1:
The patent segments the improved mobile application into distinct functional modules, each corresponding to a component application. This modular structure allows independent management of each functionality while maintaining a unified application interface, reducing the perceived complexity despite combining multiple applications
4Adaptability or versatility
If an application is accessed across multiple platforms, then user accessibility improves, but compatibility issues and performance degradation may occur
Solution Approach 1:
The patent introduces an intermediary layer (emulator or compatibility platform) that translates between different operating system interfaces and the unified improved mobile application. This intermediary ensures consistent performance and reliability across iOS, Android, Windows, Mac OS, smart TV, and game console platforms while maintaining native-like functionality
Data Source
AI summary
A method and apparatus for improving mobile application that enable: unpacking a first mobile application to obtain contents including codes and resource data of the first mobile application; setting a name space for the resource data of the first mobile application and of a second mobile application; assembling the codes of the first and second mobile applications; and packing the assembled codes of the first and second mobile applications, the resource data of the first and second mobile applications, and data of the name space to create an improved mobile application, wherein the method further comprises capturing images of the improved mobile application; using neural network to determine a category for the captured images; and extracting features in the captured images according to the category to monitor status or gather data from the improved mobile application.