Disclosed is a method, according to a first embodiment of the present disclosure, comprising obtaining a first image of the whole of a back seat; obtaining a second image of the whole of a cushion seat; obtaining deep learning information used for analyzing the images of the back seat and cushion seat; determining a problem area from the first image and second image using the deep learning information; obtaining a detailed image of the problem area; and determining a wrinkle area using the detailed image.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/776 - ValidationÉvaluation des performances
An embodiment of the present invention provides a steam ironing system for a vehicle seat cover, which comprises a steam tank for heating water to generate steam; a steam injection assembly for receiving the steam generated from the steam tank and injecting the steam to the vehicle seat at a predetermined interval from the vehicle seat; an automated robot for guiding a movement of the steam injection assembly; a steam ironing assembly, coupled to a robot mounting unit provided in the automated robot with the steam injection assembly, for receiving the steam generated from the steam tank and ironing the vehicle seat; a steam supplying unit for supplying the steam to the steam injection assembly or the steam ironing assembly, one end thereof being connected to the steam tank; a water recovery unit detachably connected to the steam supplying unit, for recovering water generated in the steam supplying unit during a steam supplying process; a steam supply controlling unit for selectively supplying the steam via the water recovery unit to the steam injection assembly or the steam ironing assembly; and a recovery tank for storing water recovered from the water recovery unit.
An embodiment of the present invention provides a steam ironing system for a vehicle seat cover, which comprises a steam tank for heating water to generate steam; a steam injection assembly for receiving the steam generated from the steam tank and injecting the steam to the vehicle seat at a predetermined interval from the vehicle seat; an automated robot for guiding a movement of the steam injection assembly; a steam ironing assembly, coupled to a robot mounting unit provided in the automated robot with the steam injection assembly, for receiving the steam generated from the steam tank and ironing the vehicle seat; a steam supplying unit for supplying the steam to the steam injection assembly or the steam ironing assembly, one end thereof being connected to the steam tank; a water recovery unit detachably connected to the steam supplying unit, for recovering water generated in the steam supplying unit during a steam supplying process; a steam supply controlling unit for selectively supplying the steam via the water recovery unit to the steam injection assembly or the steam ironing assembly; and a recovery tank for storing water recovered from the water recovery unit.
D06F 73/00 - Appareils pour le lissage ou l'élimination des faux plis des vêtements ou d'autres articles textiles par formeurs, supports, tendeurs ou cadres intérieurs avec application de chaleur ou de vapeur
D06F 69/00 - Machines à repasser non prévues ailleurs
B60S 3/00 - Appareils pour le nettoyage de véhicules, ne faisant pas partie intégrante de ces derniers
D06F 75/16 - Fers à repasser à chauffage électrique interne avec des moyens pour amener la vapeur sur l'article à repasser la vapeur étant produite par de l'eau contenue dans un réservoir supporté par le fer le réservoir étant chauffé pour produire la vapeur
D06F 75/20 - Dispositifs pour projeter la vapeur sur l'article à repasser
A method according to a first embodiment disclosed herein comprises the steps of: acquiring a first image of the entirety of a back seat; acquiring a second image of the entirety of a cushion seat; acquiring deep learning information that is used to analyze the images of the back seat and the cushion seat; determining a problematic region from the first image and the second image by using the deep learning information; acquiring a detailed image of the problematic region; and determining a wrinkled region by using the detailed image.
G01N 21/88 - Recherche de la présence de criques, de défauts ou de souillures
G01N 21/95 - Recherche de la présence de criques, de défauts ou de souillures caractérisée par le matériau ou la forme de l'objet à analyser
B62D 65/00 - Tracé, fabrication, p. ex. assemblage, mesures pour faciliter le désassemblage, ou modification de la structure des véhicules à moteurs ou des remorques, non prévus ailleurs
B62D 65/14 - Assemblage de sous-ensembles ou de composants avec la caisse ou entre eux, ou positionnement de sous-ensembles ou de composants par rapport à la caisse ou à d'autres sous-ensembles ou d'autres composants les sous-ensembles ou composants étant des accessoires des compartiments pour passagers, p. ex. des sièges, des garnitures, un décor, des tableaux de bord
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