Abstract:
The present disclosure provides a projector including a first and a second guide members having a shape of a portion of an annular ring and comprising a first and as second slots formed along a ring line, respectively, the second slot overlapping the first slot at one point, a first and a second driving parts configured to rotate the first guide member, and a light source part having a vertical axis tilted in a state in which the light source part is constrained to the first slot and the second slot including a first and a second movable members configured to move in a longitudinal direction of the first and second slots, respectively, and a light source formed in an outer end portion of the light source part and fixed to one of the first movable member and the second movable member to move.
Abstract:
The present invention relates to home appliances treating the laundry or object received therein using artificial intelligence. Specifically, the home appliance may include an artificial intelligence-based laundry washing machine that recognizes a load based on vision and automatically provides a specific course. The home appliance include a processor configured to: obtain a learning result from a learning operation using image information previously acquired using the camera and treatment information previously acquired from user interface; and process image information currently acquired using the camera with respect to the learning result, thereby to generate and set current treatment information; and control the home appliance to treat the object based on the set current treatment information.
Abstract:
A product inspection apparatus including a camera configured to capture an image of a product to be inspected; and a processor configured to extract defect information from a defect indicated by the captured image of the product, generate first virtual defect data including at least one of a location, a size and a shape of the defect included in the captured image, based on the extracted defect information, generate second virtual defect data by synthesizing the first virtual defect data with non-defect data representing the product without the defect, and generate final virtual defect data by inputting the second virtual defect data to an artificial intelligence generative model.
Abstract:
An indoor air quality control method using an intelligent air cleaner is disclosed. An indoor air quality control method using an intelligent air cleaner according to an embodiment of the present invention can predict indoor dust concentration progress on the basis of output values of a learning model having received dust concentration data as input values when the dust concentration data of an indoor place where the air cleaner is located is received from the air cleaner, and determine whether ventilation is required by comparing the predicted progress with outside dust concentration data received from the Meteorological Administration server. Accordingly, indoor dust concentration changes can be predicted and an appropriate ventilation time can be recommended. The intelligent air cleaner and the indoor air quality control method using the same of the present invention can be associated with artificial intelligence modules, devices related with the 5G service, and the like.
Abstract:
A robot cleaner system may include a robot cleaner that may be automatically driven while performing a cleaning operation, a recharging base that receives the robot cleaner, and a remote control device that remotely controls the robot cleaner. The remote control device may also generate mapping information between an actual region and a virtual region based on image information generated by a camera provided on the robot cleaner, and/or image information generated by a camera on the recharging base.
Abstract:
A mobile terminal according to an embodiment disclosed herein can capture an image of the inside of a dishwasher through a camera, transmit the captured image to a server, receive dish information from the server, and display washing guide information of the dishwasher on the display unit on the basis of the received dish information.
Abstract:
Disclosed is a method of controlling a robot cleaner. The control method includes acquiring an image of the robot cleaner and a surrounding area of the robot cleaner at a reference position, the robot cleaner having two markers spaced apart from each other by a given distance, extracting the two markers from the acquired image, defining a horizontal plane of an actual space in which the two markers are located, based on positions of the two markers displayed on the acquired image and an actual distance between the two markers, acquiring position information of the robot cleaner relative to the reference position, based on position information of the two markers in the horizontal plane, and controlling travel of the robot cleaner based on the position information of the robot cleaner relative to the reference position.
Abstract:
An indoor air quality control method using an intelligent air cleaner is disclosed. An indoor air quality control method using an intelligent air cleaner according to an embodiment of the present invention classifies dust concentration data received from the air cleaner according to predetermined criteria and performs dust concentration pattern analysis. Particularly, dust concentration patterns for respective time periods are analyzed to control the air cleaning intensity of the air cleaner in advance of a predicted time, thereby facilitating efficient indoor air quality management. The intelligent air cleaner and the indoor air quality control method using the same of the present invention can be associated with artificial intelligence modules, devices related with the 5G service, and the like.
Abstract:
A robot cleaner system may include a robot cleaner that may be automatically driven while performing a cleaning operation, a recharging base that receives the robot cleaner, and a remote control device that remotely controls the robot cleaner. The remote control device may also generate mapping information between an actual region and a virtual region based on image information generated by a camera provided on the robot cleaner, and/or image information generated by a camera on the recharging base.
Abstract:
An artificial intelligence refrigerator includes: a display, a cabinet having a storage room receiving food, a camera provided in the cabinet and capturing an image of the storage room, a storage room sensor detecting whether the storage room is opened or closed, and a processor configured to control, based on the storage room sensor detecting that the storage room is opened, the camera to capture the image of the storage room, transmit, based on a maximum opening time point or a closing time point of the storage room being detected through processing of the captured image, a capture command to the camera, the closing time point being a time point at which the storage room starts closing, acquire a storage state of the storage room based on an image captured according to the capture command, and control the display to display food management information based on the acquired storage state.