Smart Home AI Model Management for Unified Adaptive Control
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Solution Overview
Problem
Smart home systems face challenges in managing fragmented devices and leveraging artificial intelligence to learn and adapt to user preferences, behaviors, and routines for personalized experiences.
Innovation Solution
Implementing local and global AI models that utilize anonymized activity datasets to generate and distribute AI models for smart home systems, enabling centralized management and adaptive device control through activity predictions and scene recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple smart home applications are installed to control different device categories, then device control capability is improved, but system complexity and ease of operation deteriorate
Solution Approach 1:
The patent combines multiple device-specific applications into a single unified smart home application that provides centralized control for all smart home devices. The system merges thermostat control, lighting control, lock control, garage door control, and camera control into one integrated interface, eliminating the need for users to manage multiple separate applications while maintaining full device control capability.
Solution Approach 2:
The unified smart home application serves multiple functions simultaneously, acting as a universal control interface for diverse device categories including thermostats, lighting, locks, garage doors, and cameras. This multi-functional approach allows a single application to replace numerous specialized applications, reducing system complexity while preserving adaptability across different device types.
2Manufacturing precision
If users manually access multiple applications to configure smart home devices, then precise device control is achieved, but time efficiency and ease of operation worsen
Solution Approach 1:
The system performs preliminary actions by pre-configuring device settings and control parameters within the unified application framework. User preferences, device groupings, and automation rules are established in advance through the single application interface, eliminating the need for users to repeatedly access multiple applications during routine configuration tasks.
Solution Approach 2:
The unified smart home application acts as an intermediary layer between the user and multiple smart home devices. This intermediate interface consolidates control commands and configuration operations, allowing users to manage all devices through a single point of access while maintaining precise control over each individual device's settings and behavior.
3Adaptability or versatility
If smart home systems collect and process user activity data, then personalized experience and adaptability improve, but data privacy and security concerns increase
Solution Approach 1:
The system implements local quality by processing and analyzing user activity data locally on individual devices or within distributed edge computing nodes rather than centralizing all data processing in the cloud. This approach enables personalized experience generation through local AI models while minimizing data transmission and storage requirements, thereby reducing data privacy and security risks associated with centralized data collection.
Data Source
AI summary
Disclosed herein are techniques for managing artificial intelligence (AI) models for smart home systems.