PREDICTIVE ENHANCEMENT TO PASENGER EXPERIENCE USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

An in-cabin system to monitor passenger states and implement certain automated services, or alert crewmembers of passenger needs at the earliest opportunity includes a processor (100) configured via a trained artificial intelligence / machine learning algorithm receives sensor data from a plurality...

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Bibliographische Detailangaben
Hauptverfasser:	BAJEKAL, Sanjay G, SHRIKHANDE, Ashish, ST. ROCK, Brian E, MCKEE, Jefferey M, KALORE, Pankaj
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	AIRCRAFT ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSIONTRANSMISSIONS IN AIRCRAFT AVIATION CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COSMONAUTICS COUNTING EQUIPMENT FOR FITTING IN OR TO AIRCRAFT FLYING SUITS PARACHUTES PERFORMING OPERATIONS PHYSICS TRANSPORTING
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Beschreibung
Zusammenfassung:	An in-cabin system to monitor passenger states and implement certain automated services, or alert crewmembers of passenger needs at the earliest opportunity includes a processor (100) configured via a trained artificial intelligence / machine learning algorithm receives sensor data from a plurality of passenger facing sensors (104) including cameras, microphones, temperature sensors, or the like. The processor identifies early indications of passenger needs based on passenger actions or changes in behavior over time. The processor automatically implements certain passenger comfort routines where possible, or alerts a crew member of a possible eminent passenger need. In a further aspect, the processor may identify certain emergency situations at the earliest possible moment, and alert a crew member.