AI Vision Interface With 3D Enterprise Asset Navigation
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Solution Overview
Problem
Enterprises face challenges in intuitively accessing and managing disparately located assets and data from various sources, requiring extensive user training and hindering real-time decision-making due to complex file systems and limited data views.
Innovation Solution
An artificial intelligence vision system integrating augmented and virtual reality devices to create a multi-dimensional virtual environment for enhanced data interaction, providing real-time insights and collaborative control of enterprise assets through machine learning and agentic AI applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional file systems and application interfaces are used to access enterprise assets and data, then data security and system stability are maintained, but user accessibility and ease of operation deteriorate due to complex navigation requirements and extensive training needs
Solution Approach 1:
The patent implements a spatial interface that transforms traditional two-dimensional flat interfaces into three-dimensional spatial environments. Users can navigate enterprise assets and data through immersive 3D spaces with intuitive gestures, eliminating the need to learn complex file system hierarchies and application interfaces while maintaining secure access controls.
Solution Approach 2:
The patent introduces an AI agent as an intermediary between users and enterprise assets. This AI mediator automatically handles complex navigation tasks, translates user intent into system actions, and manages access permissions, thereby simplifying user interaction without compromising security or system stability.
2Loss of information
If comprehensive data from multiple sources is collected for enterprise management, then decision-making information completeness is improved, but real-time accessibility and processing speed deteriorate due to data volume and source diversity
Solution Approach 1:
The patent implements preliminary data processing by pre-integrating data from multiple enterprise sources into a unified spatial environment. Data is pre-processed, validated, and organized into meaningful spatial relationships before users need it, enabling instant access to comprehensive enterprise information without real-time processing delays.
Solution Approach 2:
The patent replaces traditional mechanical data processing systems with AI-driven intelligent processing. Machine learning algorithms automatically analyze, correlate, and synthesize data from diverse sources in real-time, substituting slow manual or rule-based processing with fast adaptive intelligent systems that maintain information completeness.
3Productivity
If users navigate complex file systems to access enterprise data, then data security and access control are maintained, but productivity and decision-making speed deteriorate due to extensive navigation time
Solution Approach 1:
The patent transforms linear file system navigation into parallel spatial exploration. Users can simultaneously view multiple data sources and relationships in a 3D environment, access any enterprise asset through intuitive spatial navigation, and make decisions based on comprehensive visualized information without sequential navigation delays.
Solution Approach 2:
The AI agent intermediary automatically performs navigation tasks, translating user intent directly into data retrieval actions. This eliminates manual navigation through complex file systems while maintaining security protocols, allowing users to focus on decision-making rather than data location.
Data Source
AI summary
In some embodiments, an artificial intelligence vision system may be integrated with multiple enterprise software applications and the artificial intelligence vision system and method may transform the human-machine interface (HMI). The artificial intelligence vision system and method may use augmented reality, virtual reality, and/or mixed reality devices to create a new level of data interaction and collaboration for enterprise processes. Synchronization may be enabled between virtual environments presented via multiple computing devices and/or between virtual environments presented via different applications executing on the same user device. The artificial intelligence vision system and method may provide a seamless immersive and interactive experience for users by providing accurate multi-dimensional virtual environments mapped to physical environments. Enterprise insights may be generated and provided to users to enable the users to perform real-time or near real-time action regarding assets of an enterprise.