Generative artificial intelligence configuration system for aircraft interior designs

Abstract

20 25 27 98 36 16 D ec 2 02 5 G E N E R A T I V E A R T I F I C I A L I N T E L L I G E N C E C O N F I G U R A T I O N S Y S T E M 2 0 2 5 2 7 9 8 3 6 1 6 D e c 2 0 2 5 A B S T R A C T 8 / 13 START IDENTIFY A REFERENCE IMAGE OF THE DESIGN OF THE INTERIOR OF THE AIRCRAFT IDENTIFY ENGINEERING DATA FOR THE DESIGN RECEIVE AN ELEMENT SELECTION OF A NUMBER OF ELEMENTS IN THE REFERENCE IMAGE OF THE DESIGN FOR MODIFICATION RECEIVE AN ELEMENT MODIFICATION FOR MODIFYING THE NUMBER OF ENHANCED ELEMENTS IN THE ENHANCED IMAGE DISPLAY THE CUSTOMIZED IMAGE ON A DISPLAY SYSTEM END FIG. 8 GENERATE AN ENHANCED IMAGE OF THE DESIGN USING THE NUMBER OF ELEMENTS IN THE REFERENCE IMAGE, THE ELEMENT SELECTION, AND THE MACHINE LEARNING MODEL SYSTEM, WHEREIN THE NUMBER OF ELEMENTS IN THE ENHANCED IMAGE ARE A NUMBER OF ENHANCED ELEMENTS MODIFY THE NUMBER OF ENHANCED ELEMENTS USING THE ELEMENT MODIFICATION THAT TAKES INTO ACCOUNT THE ENGINEERING DATA USING THE MACHINE LEARNING MODEL SYSTEM TO FORM A CUSTOMIZED IMAGE OF THE DESIGN WITH A NUMBER OF MODIFIED ELEMENTS IN PLACE OF THE NUMBER OF ENHANCED ELEMENTS 800 802 804 806 808 810 812 8 / 13 START IDENTIFY A REFERENCE IMAGE OF THE 802 RECEIVE AN ELEMENT SELECTION OF A 804 GENERATE AN ENHANCED IMAGE OF THE DESIGN 806 RECEIVE AN ELEMENT MODIFICATION FOR 808 MODIFY THE NUMBER OF ENHANCED ELEMENTS 810 DISPLAY THE CUSTOMIZED 812 END 20 25 27 98 36 16 D ec 2 02 5 2 0 2 5 2 7 9 8 3 6 1 6 D e c 2 0 2 5 I D E N T I F Y E N G I N E E R I N G D A T A F O R T H E D E S I G N R E C E I V E A N E L E M E N T S E L E C T I O N O F A M O D I F Y T H E N U M B E R O F E N H A N C E D E L E M E N T S 8 1 0 D I S P L A Y T H E C U S T O M I Z E D 8 1 2 E N D

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