Vehicle Cabin Passenger Monitoring for Privacy-Preserving Threat Detection
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Solution Overview
Problem
Current monitoring systems in vehicles, particularly in autonomous transportation modes like flights, trains, and ships, are inadequate for detecting suspicious passenger behavior and maintaining passenger privacy, and there is a lack of effective response mechanisms for potential security threats.
Innovation Solution
A monitoring system utilizing sensors within the vehicle cabin to detect passenger behavior, determine behavior characteristics through comparison with stored data and weight parameters, generate assessment signals, and send them to a monitoring network for proposed actions, which can include alerting authorities or changing flight paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current monitoring systems (remote video feeds and remote sensors) are used for passenger monitoring, then basic monitoring capability is provided, but the system fails to accurately identify harmful activities and cannot maintain passenger privacy
Solution Approach 1:
The patent segments the monitoring system into multiple independent sensor types (video cameras, audio sensors, biometric sensors, behavioral sensors) that detect different aspects of passenger behavior. This segmentation allows the system to analyze specific behavior patterns without requiring complete identification of the passenger, thereby improving detection accuracy while preserving privacy.
Solution Approach 2:
The patent introduces behavior characteristics as an intermediary between raw sensor data and security assessment. Instead of directly identifying passengers through biometric data, the system uses behavioral patterns (movement patterns, posture changes, interaction patterns) as a mediator to detect harmful activities, thus maintaining privacy while improving identification accuracy.
2Productivity
If autonomous transportation reduces onboard staff, then operational efficiency is improved, but the detection and reporting of suspicious passenger behavior is hampered
Solution Approach 1:
The monitoring system is designed to be self-service by automatically detecting, analyzing, and reporting suspicious behaviors without requiring human staff intervention. The system autonomously processes sensor data, identifies harmful activities through behavior pattern recognition, and generates alerts, thereby maintaining reliability while supporting staff reduction and improving operational efficiency.
Solution Approach 2:
The patent replaces the mechanical system of human staff monitoring with an automated electronic monitoring system using multiple sensors and algorithms. This substitution maintains or improves detection reliability while enabling staff reduction and enhancing operational efficiency in autonomous transportation.
3Reliability
If comprehensive passenger monitoring is implemented to ensure safety, then security is improved, but passenger privacy is compromised
Solution Approach 1:
The patent applies local quality by focusing monitoring on specific behavior characteristics and patterns rather than comprehensively tracking all passenger activities. The system selectively monitors for harmful behaviors (aggressive movements, unusual postures, suspicious interactions) while ignoring routine activities, thereby improving safety detection without unnecessarily compromising privacy.
Solution Approach 2:
The system implements partial monitoring by focusing only on the necessary aspects of passenger behavior required for safety (behavioral patterns and characteristics) rather than complete surveillance. This partial action approach provides sufficient safety assurance while minimizing privacy intrusion by excluding unnecessary personal information collection.
Data Source
AI summary
Systems, methods, and devices for a monitoring system of a vehicle which may include one or more processors. A sensor interior to a cabin of a vehicle may sense a passenger behavior of a passenger of the vehicle. A behavior characteristic based on the passenger behavior may be determined and based on one or more of a comparison of the passenger behavior and a stored passenger behavior, a weight parameter associated with the passenger behavior, and a trigger associated with one or more sensors. An assessment signal may be determined based on the determined behavior characteristic. The assessment signal may be sent to a monitoring network and the monitoring network may receive the assessment signal. A proposed action may be determined based on the assessment signal and the proposed action may be sent to the vehicle. A next action may be determined based on the proposed action.