Autonomous Flight Passenger State Detection for Emergency Response
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Solution Overview
Problem
In aircraft without an inflight crew, it is challenging to provide prompt services when passengers experience tension or emergencies during autonomous flight.
Innovation Solution
An apparatus and method that utilize biometric data and image analysis through machine learning models to determine passenger states, enabling rapid adjustment of flight paths, provision of first aid, and relief measures based on passenger conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous flight is implemented without inflight crew, then operational efficiency and productivity are improved, but the ability to provide prompt service during passenger emergencies deteriorates
Solution Approach 1:
The system enables the aircraft to autonomously monitor passenger conditions through biometric sensors and image analysis, automatically detect emergencies, and execute appropriate responses without crew intervention. The aircraft serves itself by integrating detection, decision-making, and action-execution capabilities into the autonomous flight system.
Solution Approach 2:
A service providing apparatus acts as an intermediary between passengers and the autonomous flight system. This apparatus includes biometric sensors, image analysis cameras, and a control module that processes passenger data and coordinates emergency responses, bridging the gap between autonomous operation and passenger care.
2Measurement precision
If comprehensive biometric monitoring and image analysis systems are deployed, then passenger state detection precision is improved, but device complexity increases
Solution Approach 1:
The service providing apparatus performs multiple functions using integrated systems: biometric data collection, image capture, machine learning analysis, emergency detection, and response coordination. A single multi-functional module replaces what would otherwise require separate specialized systems for each function.
Solution Approach 2:
The system combines biometric sensors, image analysis cameras, machine learning models, and control modules into an integrated service providing apparatus. Multiple detection and response functions are merged into a unified system that operates autonomously, reducing overall system complexity through consolidation.
Data Source
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AI summary
A service providing apparatus of providing a service according to a state of a passenger in aircraft during autonomous flight includes a processor; and a storage medium recording one or more programs configured to be executable by the processor, wherein the one or more programs include instructions for an input/output (I/O) module receiving biometric data and a captured image of a passenger in real time, a determination module determining a state of the passenger based on the biometric data and the captured image of a passenger, and a control module performing a preset process according to the state of the passenger, wherein the preset process includes: a first process for adjusting a flight path of the aircraft when the state of the passenger is an emergency state or a second process for relieving tension when the state of the passenger is a state of tension