Context-Aware Object Recognition for IoT Control
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Solution Overview
Problem
Users face inefficiencies in controlling multiple IoT devices in an environmental space due to the time-consuming process of finding and accessing individual user applications.
Innovation Solution
A context-aware object recognition method that captures images of objects using cameras, normalizes them, identifies contextual attributes, and accesses corresponding user control applications for network-connected devices, allowing for simplified control through a unified interface on devices like mobile phones and tablets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users access individual user applications for each IoT device, then control functionality is available, but time consumption increases and operation complexity increases
Solution Approach 1:
The system automatically identifies IoT devices and launches appropriate control applications without requiring manual user selection. The camera captures an image of the IoT device, the processor identifies the device type, and the application launcher automatically opens the corresponding control application, making the system serve itself rather than requiring user intervention to find and access controls.
Solution Approach 2:
A camera-based recognition system acts as an intermediary between the user and the IoT device controls. Instead of directly accessing applications, the user first captures an image, which then mediates the identification process and triggers the appropriate control interface, simplifying the interaction pathway.
2Adaptability or versatility
If multiple individual user applications are provided for different IoT devices, then device-specific control is available, but interface complexity increases
Solution Approach 1:
The camera-based recognition system serves as a universal interface that can identify and launch control applications for multiple different types of IoT devices. Instead of requiring separate manual interfaces for each device type, a single camera-based system handles all device identifications, providing multi-functionality that reduces the perceived complexity while maintaining device-specific control capabilities.
Data Source
AI summary
A method and device for IoT control of objects in an environmental space includes capturing an image of one or more objects in the environmental space using a camera. The captured image is normalized for up/down orientation of the camera and one or more objects in the image are identified. At least one contextual attribute for the one or more objects is determined based on the captured image. A user control application for a network-connected object is accessed based on the determined at least one contextual attribute for the one or more objects.