Wearable Danger Warning Device Using Multi-Sensor Fusion
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Solution Overview
Problem
Existing wearable devices for early warning of danger often rely solely on image or audio signals, failing to comprehensively assess the degree of danger based on multiple factors such as physical characteristics, time to reach the user, and environmental conditions, leading to inadequate warning responses.
Innovation Solution
A wearable device that acquires image and audio information, determines the degree of danger by analyzing physical and audio characteristics, time to reach, and environmental factors like weather and odor, and provides tailored warnings based on the assessed risk level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensing units and detection methods are integrated to comprehensively assess danger levels, then the accuracy and reliability of danger assessment is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple sensing units (image sensing unit, audio sensing unit, odor sensing unit, weather sensing unit) and biometric sensing units into a single wearable device to comprehensively detect various parameters (physical characteristics, audio characteristics, environmental conditions) for holistic danger assessment, resolving the contradiction by integrating multiple functions into one system
Solution Approach 2:
The wearable device is designed with multi-functionality to perform diverse detection tasks (image recognition, audio analysis, odor detection, weather monitoring, biometric sensing) simultaneously, allowing a single device to assess multiple danger factors without requiring separate specialized devices
2Loss of time
If real-time comprehensive monitoring of multiple parameters is performed, then the timeliness and responsiveness of warnings is improved, but the energy consumption increases
Solution Approach 1:
The system performs preliminary detection and assessment by continuously monitoring multiple parameters in real-time before actual danger occurs, enabling early warning and preventive action, which resolves the contradiction by preparing the system in advance rather than reacting after danger materializes
Solution Approach 2:
The system provides real-time feedback through immediate danger level assessment and timely warnings based on monitored parameters, creating a closed-loop system that continuously evaluates and responds to changing conditions, ensuring rapid response while optimizing energy use through intelligent processing
Data Source
AI summary
Provided are a method and an apparatus for early warning of danger, the method including acquiring image information of a target object through a first wearable device worn by a user, detecting a physical characteristic of the target object based on the acquired image information, determining a degree of danger that is a degree to which safety of the user is endangered, by using the detected physical characteristic, and providing a warning to the user based on the determined degree of danger of an event.