IoT Controller Analyzing Media Data for Ambient Device Control
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Solution Overview
Problem
In smart home environments, existing technologies face challenges in seamlessly integrating and controlling IoT devices across different standards and platforms, leading to compatibility issues and reduced usability due to the lack of a unified protocol for media data analysis and device control.
Innovation Solution
A method and apparatus where an IoT controller acquires and analyzes media data, such as video, audio, and subtitles, to control connected devices like lights, fans, and blinds, using deep learning and artificial intelligence, enabling immersive media consumption without user intervention by adjusting ambient settings based on the analyzed data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple IoT devices from different standards and platforms are integrated in a smart home environment, then device versatility and functionality are improved, but compatibility issues and system complexity increase
Solution Approach 1:
The patent introduces a media player device as an intermediary component that bridges different IoT ecosystems. This media player receives media data from various sources (broadcasting, internet streaming, cable) and analyzes it to control diverse IoT devices (lights, fans, blinds) through standardized communication protocols, thereby enabling compatibility across multiple platforms without requiring each device to directly communicate with every other device
Solution Approach 2:
The media player is designed with multi-functional capabilities to handle different media data formats and control various types of IoT devices. It can process media from multiple sources (broadcasting, internet streaming, cable connections) and translate this data into control commands for different device types, making it a universal controller that simplifies the smart home ecosystem
2Ease of operation
If media data analysis is performed to control IoT devices automatically, then user convenience and immersion are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of media data characteristics (such as scene identification, mood detection, and content type classification) before the actual device control is executed. By pre-processing and analyzing media data in advance, the system can quickly retrieve appropriate control strategies and reduce real-time processing delays, enabling automatic device control with minimal latency
3Measurement precision
If deep learning and AI algorithms are applied to analyze media data, then control precision and adaptability are improved, but computational complexity and energy consumption increase
Solution Approach 1:
The patent applies different levels of AI analysis to different aspects of media data based on their importance. Instead of uniformly applying deep learning to all media data, the system identifies critical features (such as scene type, emotional tone, and content category) and applies targeted analysis only to these essential elements, reducing overall computational energy consumption while maintaining high precision in the most important control decisions
Data Source
AI summary
Provided are a method and device for controlling a controlled device by obtaining and analyzing media data by a control device in a wireless LAN system of a smart home environment. Particularly, the control device obtains media data. The control device analyzes the result on the basis of the media data. The control device controls the controlled device on the basis of the analyzed result. The media data is obtained on the basis of a cable, file input, broadcasting and internet streaming.