AR Glasses Multisensor Threat Detection and Real-Time Reporting
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Solution Overview
Problem
Conventional CCTV systems and AR glasses face limitations in accurately detecting threats due to blind spots, low resolution, false positive detections, battery efficiency issues, and inability to comprehensively analyze sensor data, leading to inefficient resource allocation and delayed response to real threats.
Innovation Solution
A threat detection and reporting system using AR glasses that integrates multiple sensors, including a microphone, camera, and wearable devices, synchronizes data to analyze threats comprehensively, and dynamically manages power consumption based on threat detection needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If AR glasses use single sensor (microphone or camera) for threat detection, then device complexity is reduced, but detection accuracy deteriorates leading to false positives
Solution Approach 1:
The patent combines multiple sensors (microphone, camera, motion sensors, heart rate sensors, GPS) into an integrated threat detection system. The sensors work together to analyze environmental data, audio signals, video feeds, and biometric information simultaneously, enabling comprehensive threat assessment that reduces false positives while maintaining manageable device complexity through unified processing architecture.
2Reliability
If AR glasses continuously activate threat detection features, then threat detection reliability is improved, but battery consumption increases reducing device lifetime
Solution Approach 1:
The system implements periodic action by continuously monitoring low-power sensor data (motion sensors, heart rate sensors, GPS) and periodically activating high-power sensors (camera, microphone) only when potential threats are detected. This approach maintains reliable threat detection by keeping monitoring continuous at a basic level while conserving battery life by activating intensive detection features only when needed.
Solution Approach 2:
The threat detection system dynamically adjusts its operation based on real-time conditions. The system transitions between different detection modes (passive monitoring, active detection, threat confirmation) depending on the situation, optimizing the balance between detection reliability and power consumption by adapting sensor activation and processing intensity to current environmental and biometric data.
3Adaptability or versatility
If AR glasses activate camera for all potential threats, then detection coverage is improved, but false positive rate increases due to non-real threats
Solution Approach 1:
The system uses motion sensors and heart rate sensors as intermediary indicators before activating the camera. These sensors detect preliminary signs of potential threats (sudden movements, elevated heart rate) and serve as filters to determine when camera activation is necessary. This intermediary detection layer reduces false positives by confirming threats through multiple sensor modalities before initiating full camera recording.
Solution Approach 2:
The system implements feedback mechanisms where sensor data from multiple sources (motion, heart rate, audio, video) continuously informs and adjusts detection decisions. The feedback loop analyzes patterns across different sensor inputs to distinguish real threats from false positives, with the system learning from confirmed threats to improve future detection accuracy and reduce unnecessary camera activations.
Data Source
AI summary
A threat detection and reporting system and method using AR glasses is disclosed. The system includes AR glasses configured to analyze sensor data of at least two built-in sensors to identify a threat and transmit information indicating the identified threat in real time, a smart device configured to receive the information indicating the threat in real time from the AR glasses and reports the threat in real time, and a threat detection platform configured to perform reporting to a relevant organization according to a threat reported in real time from the smart device.