Camera-Based IoT Device Identification and Personalized Control Menu
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing IoT devices present difficulties for users due to the multitude of available devices and diverse user interface implementations, requiring users to select and pair devices manually and navigate complex, non-personalized control menus.
Innovation Solution
A system utilizing a user device camera to identify and authenticate IoT devices, providing a personalized and simplified control interface by predicting user preferences and habits, allowing for intuitive device control through a customized menu.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually select and pair IoT devices from a list, then device connectivity is established, but the process becomes complex and time-consuming due to the multitude of available devices
Solution Approach 1:
The patent replaces the manual mechanical selection process with an automated optical recognition system. The camera captures an image of the IoT device, and image processing algorithms automatically identify and extract device information, eliminating the need for users to manually search through device lists and pair devices step-by-step.
Solution Approach 2:
The system enables self-service by allowing the IoT device to present its own identification information through visual output (display or printed code). The user simply needs to point the camera at this self-presented information, and the system automatically completes the pairing process without requiring user intervention in the matching and connection steps.
2Ease of operation
If traditional control menus are used for IoT devices, then device control is possible, but the interface becomes complex and non-personalized due to diverse device types and functions
Solution Approach 1:
The patent applies local quality by customizing the control interface according to the specific IoT device type and the user's historical behavior patterns. Instead of a uniform complex menu for all devices, the system generates device-specific menus that highlight only the most relevant controls and functions for that particular device and user, making the interface simpler and more intuitive.
Solution Approach 2:
The control menu is made dynamic and adaptive rather than static. The system continuously learns from user interactions and automatically adjusts the menu structure, repositioning frequently used functions to prominent locations and adapting to changing user needs over time, thereby reducing perceived complexity while maintaining ease of operation.
3Adaptability or versatility
If generic control interfaces are provided for all IoT devices, then device compatibility is maintained, but user experience deteriorates due to lack of personalization
Solution Approach 1:
The system achieves universality through a multi-layered approach: the core image recognition and device identification mechanisms work across all IoT devices universally, while the control interface layer adapts to provide personalized experiences. The camera-based device capture and QR code/display recognition methods are universally applicable, yet the resulting control menus are customized based on device type and user behavior.
Solution Approach 2:
The system segments the control interface into modular components based on device functionality and user preferences. Instead of presenting a single generic interface, it divides controls into relevant sections, showing only the functions applicable to the specific device type while maintaining the ability to access additional functions if needed, thus balancing compatibility with personalized user experience.
Data Source
AI summary
Systems and methods for providing smart internet of things (IOT) menus utilize a camera of an electronic communications device and entail capturing an image of an IOT device of interest using a camera of the electronic communications device and identifying the IOT device of interest. The IOT of interest is displayed and may be selected by the device user. The user of the electronic communications device is identified and their historical behavior with respect to the selected IOT device is analyzed. A customized, rather than full, IOT device control menu is then generated and presented to the user.