In-Vehicle Facial Recognition for Driver Health Event Response
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Solution Overview
Problem
Current technologies fail to effectively detect and respond to irregular health events in drivers and passengers, which can lead to unsafe driving conditions and traffic accidents, particularly due to the increasing use of distracting devices and unforeseen medical conditions.
Innovation Solution
A facial recognition and monitoring system that uses cameras and image processing units to identify irregular health events by comparing facial data with stored models, generating notifications, and optionally transmitting emergency signals to enable vehicle safety protocols, such as navigating to a safe parking destination or alerting emergency services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If facial recognition and monitoring systems are implemented to detect irregular health events, then driver and passenger safety is improved, but device complexity and implementation cost increase
Solution Approach 1:
The facial recognition system is designed to perform multiple functions: detecting irregular health events, monitoring driver behavior, and identifying passengers. By making the system universal and multi-functional, the patent resolves the technical contradiction by improving safety through comprehensive monitoring while justifying the increased complexity through the system's ability to serve multiple safety-related purposes simultaneously.
2Measurement precision
If real-time facial data processing is performed to identify irregular health events, then detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by continuously capturing and pre-processing facial data in real-time, preparing it for rapid analysis when irregular health events occur. Facial recognition models are pre-trained and stored, allowing for quick comparison and detection. This preliminary preparation resolves the contradiction by maintaining high detection accuracy while reducing the actual processing time needed when events are detected.
3Reliability
If comprehensive facial data collection and analysis is performed, then health event detection capability is improved, but data privacy and security concerns increase
Solution Approach 1:
The system extracts only the specific facial data features necessary for detecting irregular health events, rather than collecting and storing comprehensive personal information. By taking out only the essential biometric data needed for health monitoring and comparing it against pre-stored recognition models, the patent resolves the contradiction by improving detection capability while minimizing data privacy and security risks through selective data extraction.
Data Source
AI summary
The present teachings relate to a device, system, and method for facial recognition and monitoring. The present teachings may relate to a method for recognizing and monitoring one or more users for an occurrence of a health event of the one or more users comprising: a) receiving incoming video data; b) preprocessing the video data; c) extracting facial data to identify one or more users; d) recognizing the presence, probability, and/or absence of the health event; e) generating one or more notifications or not generating based on the presence, probability, and/or absence of the health event; and f) optionally, enabling one or more safety protocols of a vehicle.


