Smart Device Wake-Up Control Using Distance-Triggered Voice Guidance
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Solution Overview
Problem
Smart devices have a low exposure rate and utilization ratio due to users being unaware of their functions and how to interact with them.
Innovation Solution
A method and apparatus for controlling smart devices that collect images of their surroundings, detect human features, and trigger voice broadcasts when a user is within a certain distance, gradually increasing the interaction volume and content to guide users in using the device's functions naturally.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the smart device remains in a dormant state to save energy, then energy consumption is reduced, but user exposure and utilization rates decrease
Solution Approach 1:
The system performs preliminary actions by collecting images and detecting human features before the user actually interacts with the device. When a human face or body is detected within the first specified distance, the device pre-awakens and broadcasts voice information about its functions, preparing the user for interaction before full activation occurs.
2Productivity
If the device actively broadcasts voice information to guide users, then user interaction increases, but energy consumption and device complexity increase
Solution Approach 1:
The interaction process is segmented into distinct stages: dormant state with image collection, pre-awakening state with voice broadcast when human features are detected, and full awakening state with active interaction. This segmentation allows the device to perform complex functions only when needed, reducing overall complexity while maintaining high user interaction capability.
Solution Approach 2:
The device dynamically transitions between different operational states (dormant, pre-awakened, awakened) based on real-time detection of human presence and distance. This dynamic state management allows the device to adjust its functionality and energy consumption according to actual user needs, reducing unnecessary complexity.
3Measurement precision
If the device uses image collection and character feature detection to identify users, then user intent detection accuracy improves, but device complexity and processing requirements increase
Solution Approach 1:
The system performs partial action by collecting only essential image data and detecting only key human features (face, body) necessary for user identification. It processes images at different levels of detail based on distance - using simpler detection at greater distances and more detailed analysis only when the user is close, thus reducing overall processing complexity while maintaining accuracy.
Data Source
AI summary
A smart device control method and apparatus, and a storage medium, relating to the technical field of smart devices. Said method comprises: when a smart device is in a dormant state, acquiring an image of an environment surrounding the smart device; if a character feature is detected in the acquired image and the distance between a target having the character feature and the smart device is within a first specified distance, triggering the smart device to perform voice broadcasting; and after voice broadcasting, if it is detected that the distance between the target and the smart device is within a second specified distance, waking up the smart device, the second specified distance being less than the first specified distance