AR Glasses Safety Alerting with AI Sensor Fusion
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Solution Overview
Problem
Certain individuals, including children and those with disabilities, may lack the awareness to recognize potentially dangerous situations, such as strangers offering them candy, which can be a ruse for kidnapping or abuse, and existing technologies do not effectively detect and warn them of such hazards in real-time.
Innovation Solution
Augmented reality devices equipped with sensors that analyze audio, video, biometric, and geolocation data to detect unsafe situations or persons, triggering alerts and notifications to the user and authorities, using machine learning and AI algorithms to identify dangerous conditions and provide appropriate responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If augmented reality devices with sensors and AI analysis are deployed to detect dangerous situations, then safety awareness and detection capability are improved, but device complexity and cost increase
Solution Approach 1:
The system divides the safety monitoring function into multiple independent components: audio sensors for detecting suspicious sounds, video cameras for visual monitoring, AI algorithms for analyzing audio patterns, and AR display for presenting warnings. Each component performs a specific function, and together they provide comprehensive safety monitoring while allowing independent optimization and failure isolation.
Solution Approach 2:
The augmented reality device integrates multiple functions into a single platform: it serves as a communication device, audio recorder, video recorder, AI processing unit, and safety warning system. This multi-functionality reduces the need for separate dedicated safety devices and allows the system to adapt to various dangerous situations using the same hardware infrastructure.
2Measurement precision
If real-time audio and video analysis is performed to detect dangerous situations, then detection accuracy is improved, but processing time and energy consumption increase
Solution Approach 1:
The system pre-loads AI models and detection algorithms into the device's memory before operation. When a dangerous situation is detected, the pre-configured algorithms can immediately process the audio and video data without requiring complex real-time compilation or analysis framework loading, significantly reducing processing time while maintaining high detection accuracy.
Solution Approach 2:
The patent replaces traditional mechanical or rule-based detection systems with AI-driven analytical processing. The AI algorithms analyze audio patterns, video content, and contextual information simultaneously, achieving higher detection accuracy more efficiently than sequential rule-based systems would provide.
3Reliability
If multiple sensors and AI algorithms are integrated into the device, then detection reliability is improved, but ease of operation and user comfort deteriorate
Solution Approach 1:
The augmented reality display serves as an intermediary between the complex sensor/AI system and the user. It presents safety warnings in a visually intuitive format overlaid on the user's field of view, requiring minimal cognitive effort to understand and respond to threats. The system automatically processes all sensor data and AI analysis in the background without requiring user configuration or intervention.
Solution Approach 2:
The device autonomously manages its own operation, automatically activating sensors, processing data through AI algorithms, and presenting warnings without requiring user control. The system self-regulates based on detected conditions, reducing the operational burden on users while maintaining high detection reliability through continuous automated monitoring.
Data Source
AI summary
Disclosed in some examples are methods, systems, and machine-readable mediums which utilize augmented reality devices to detect and warn vulnerable individuals about real-life situations that could pose a hazard to their safety. One or more signals identified from data captured by sensors of one or more devices of the user may be analyzed to determine whether elements such as persons, objects, or the like pose a danger to the user. The system, upon detection of an unsafe event, situation, or person may then warn the user through the augmented reality glasses of the unsafe events, situations, or persons. In addition, a caregiver or other individual and/or the police may also be notified.