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

VSEngineering 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

Engineering Contradiction:
Improvedriver and passenger safetyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

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.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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

Engineering Contradiction:
Improvedetection accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

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.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If comprehensive facial data collection and analysis is performed, then health event detection capability is improved, but data privacy and security concerns increase

Engineering Contradiction:
Improvehealth event detection capabilityVSAvoiddata privacy risks
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

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.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS11738756B2Facial recognition and monitoring device, system, and method
Publication Date: 2023.08.29 MOMENT AI INC
  • US11738756B2 patent drawing
  • US11738756B2 patent drawing
  • US11738756B2 patent drawing

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.