Smart Device Wake-Up Using Multi-Frequency Tone Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wake up technologies for smart devices face challenges in achieving accurate and low-power consumption operations, with methods like sound-activated lights causing false awakenings and complex AI voice wake up technologies increasing power consumption.
Innovation Solution
A method using multi-frequency tones for wake up information, determined by frame energy and feature frequency analysis, to accurately awaken smart devices with reduced processing complexity and energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If simple sound-activated wake up technology is used, then power consumption is reduced, but false waking up occurs frequently
Solution Approach 1:
The wake-up detection process is segmented into multiple stages: initial sound trigger detection, followed by multi-frequency tone pattern recognition, and finally frame energy information verification. This segmentation allows the device to maintain low power consumption during idle states while ensuring reliable wake-up activation through progressive verification steps that prevent false triggering.
Solution Approach 2:
The system performs preliminary actions by pre-configuring multi-frequency tone patterns and frame energy thresholds before actual wake-up detection. The device prepares detection parameters and frequency analysis templates in advance, enabling rapid and accurate wake-up recognition when activated, while maintaining standby mode with minimal power consumption during normal operation.
2Measurement precision
If complex AI voice wake up technology is used, then wake up accuracy is improved, but power consumption increases
Solution Approach 1:
The invention extracts only the essential frequency characteristics and frame energy information from complex voice signals, eliminating the need for full AI voice recognition processing. By focusing specifically on multi-frequency tone patterns and energy thresholds, the system achieves sufficient wake-up accuracy without the high computational overhead and power consumption of complete AI voice processing.
Solution Approach 2:
The system uses simple frequency analysis and energy detection algorithms instead of complex AI models, employing computationally lightweight methods that consume minimal power. These simplified detection mechanisms provide adequate wake-up recognition accuracy for the specific application scenario, avoiding the energy-intensive processing of full AI voice recognition systems.
3Adaptability or versatility
If complex AI voice recognition is used, then wake up functionality is enhanced, but processing complexity increases
Solution Approach 1:
The invention replaces complex AI software-based voice recognition with a more straightforward signal processing approach using frequency domain analysis and energy detection. By substituting mechanical/signal processing methods for complex computational AI systems, the device achieves wake-up functionality with reduced processing complexity and lower computational resource requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures accurate wake up while minimizing power consumption and processing complexity, applicable to various smart devices and scenarios.
Implementation Method 1
performs a frequency domain transformation on each frame of data of each single-frequency tone, so as to obtain frame energy information of each single-frequency tone
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
A method for waking up a smart device includes receiving (S110, S210, S510, S610, S710, S810, S910) sound information; determining (S120, S720, S830, S920) whether the sound information includes a multi-frequency tone; and when the sound information includes the multi-frequency tone, waking (S130, S530) up a preset function of the smart device based on the multi-frequency tone. A device for waking up a smart device as well as a smart device incorporating the device includes processing elements for performing the method. A non-transitory computer-readable storage medium stores computer instructions to cause processing elements to perform the method for waking up a smart device.