Central Console Unit AI Engine for IoT Data Exchange
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Solution Overview
Problem
Current electronic devices with data communication capabilities face challenges in providing seamless user interactions and integrating multiple services, as they often require complex user interfaces and data management across various devices, leading to inefficiencies and privacy concerns.
Innovation Solution
A central console unit equipped with an AI engine that communicates with Internet-of-things devices and mobile devices, transforming inputs into machine-learned knowledge, enabling seamless interaction and control by exchanging data dossiers that contain user preferences and habits, while maintaining privacy through local data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a central console unit with AI engine is implemented to transform inputs into machine-learned knowledge, then user interaction seamlessness is improved, but device complexity increases
Solution Approach 1:
The central console unit acts as an intermediary between Internet-of-things devices and mobile devices, managing data exchange and AI processing centrally rather than requiring complex interactions between each device pair. This mediator approach simplifies the overall system architecture while enabling seamless user experience through centralized intelligence.
2Adaptability or versatility
If data dossiers containing user preferences are exchanged between devices, then service integration is improved, but privacy concerns increase
Solution Approach 1:
The system implements local data storage and processing at the central console unit, allowing user preferences and data dossiers to be managed locally rather than requiring constant cloud synchronization. This localized approach enables comprehensive service integration while maintaining privacy by keeping sensitive user data within the local network environment.
3Adaptability or versatility
If multiple Internet-of-things devices are integrated through a central console, then system functionality is improved, but data management complexity increases
Solution Approach 1:
The patent merges data management functions for multiple Internet-of-things devices into a single central console unit. By combining data storage, AI processing, and device coordination into one centralized system, the architecture enables enhanced system functionality while reducing overall data management complexity compared to distributed management approaches.
Data Source
AI summary
A central console unit includes a communication device and one or more processors. The communication device is in communication with one or more Internet-of-things devices. An artificial intelligence engine receives inputs from the Internet-of-things devices and transforms the inputs into machine-learned knowledge stored in an Internet-of-things knowledge domain. The central console unit detects at least one mobile device having other machine learned knowledge about an authorized user of the mobile device in a user knowledge domain, stored in the at least one mobile device, communicating with the communication device. When this occurs, the central console unit causes the at least one mobile device to deliver an exchange data.