Service Application Integration via Modular Authentication
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Solution Overview
Problem
Designing an intuitive and user-friendly tool for self-guided learning while ensuring user identity protection and secure access to web services remains a challenge, especially in personalized learning environments.
Innovation Solution
The Industrial Badger Application (IBA) integrates with existing systems as a micro-service, extending capabilities through intelligent applications on wearable and mobile devices, utilizing a mixed reality content management system, biometric authentication, and blockchain verification to provide secure identity access management and offline content access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication and blockchain verification are implemented, then user identity protection and secure access are improved, but device complexity and system integration difficulty increase
Solution Approach 1:
The patent divides the authentication system into separate modular components: biometric authentication module, blockchain verification module, and service application integration module. Each module operates independently but communicates through standardized interfaces, reducing overall system complexity while maintaining security functionality.
Solution Approach 2:
The patent introduces an intermediary authentication service that mediates between the biometric authentication system, blockchain verification, and web services. This intermediary layer simplifies integration by handling complex authentication logic centrally while providing simplified access points for individual components.
2Ease of operation
If mixed reality content management system is integrated, then information delivery and user experience are simplified, but device complexity and processing requirements increase
Solution Approach 1:
The patent extracts complex mixed reality content management functionality into a separate content management system that operates independently from the core authentication and service delivery infrastructure. This allows the CMS to handle complex processing while the main system maintains simplicity through standardized content delivery interfaces.
Solution Approach 2:
The patent implements preliminary processing of mixed reality content through caching mechanisms and pre-rendering capabilities. Content is prepared and staged in advance, reducing real-time processing requirements during actual service delivery and improving ease of operation during user interaction.
3Adaptability or versatility
If offline content access is enabled, then user accessibility and service availability are improved, but data synchronization complexity and storage requirements increase
Solution Approach 1:
The patent implements offline content access by pre-caching service content and authentication tokens on user devices before connectivity is lost. This preliminary action ensures services remain available offline without requiring complex real-time synchronization mechanisms during offline periods.
Solution Approach 2:
The patent employs feedback-based synchronization mechanisms that automatically detect when connectivity is restored and initiate data synchronization only when needed. This feedback-driven approach reduces unnecessary synchronization operations and simplifies the overall data management complexity while maintaining service availability.
Data Source
AI summary
Systems, methods, devices for extending capabilities of an existing application to augment learning of a device in training are disclosed. The method includes: creating on a user device, an authorized session for running a local service application on the user device within an environment of an existing application which runs on a system remote from the user device; displaying a home screen menu which is personalized for a user, selection options to launch the local service application to execute within the existing application to provide extended functionalities to the existing application to augment learning of a device in training, wherein the selection options enable the user device to perform one or more task on the another device, include: resuming activities of a recent task previously performed, updating user's credentials through the training or learning, and starting a new task on the device in training or on another new device.