Abstract: 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.

Abstract: Disclosed is a seat track loading/unloading system including a cart where a seat track is loaded and unloaded. an unmanned transport vehicle configured to carry the cart. a seat track loading/unloading robot on which a gripper is mounted to unload the seat track from the cart, and a conveyor on which the seat track is loaded.

Abstract: An embodiment of the present invention provides a seat ironing system including a first vision unit that photographs a seat, a seat preheating unit that preheats the seat passing through the first vision unit to a predetermined temperature, an ironing robot unit provided with a steam ironing unit that removes wrinkles from the seat passing through the seat preheating unit, and a seat heat treatment unit that heat-treats the seat from which the wrinkles are removed through the ironing robot unit, wherein the ironing robot unit removes the wrinkles from the seat based on seat image information provided from the first vision unit.

Abstract: 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 th

Abstract: 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.

Abstract: 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 th