Abstract: An artificial intelligence monitoring device includes a camera configured to capture an image, a communication unit configured to receive cleaning information from an artificial intelligence cleaner, and a processor configured to determine whether a floor situation is a situation in which cleaning is required, based on the image or the cleaning information, determine a cleaning area and a cleaning type upon determining that cleaning is required, and transmit a cleaning command including the determined cleaning area and cleaning type to the artificial intelligence cleaner through the communication unit.

Abstract: The present disclosure relates to a guide robot and a method of operating the same. A guide robot according to the present disclosure includes a voice receiving unit to receive a voice, a controller to determine whether the received voice includes a preset wake-up word, and a wireless communication unit to perform communication with an artificial intelligence (AI) server set to be activated by the preset wake-up word. At this time, the control unit transmits the received voice to the artificial intelligence server, receives result information from the artificial intelligence server, and outputs the received result information, when the received voice includes the preset wake-up word. And, the control unit outputs a response voice selected according to a predetermined reference when the received voice does not include the preset wake-up word.

Abstract: An artificial intelligence device for providing a voice recognition service includes a microphone configured to receive a voice command, a memory configured to store an error analysis model for inferring an error cause of voice recognition, an output unit, and a processor configured to determine whether voice recognition of the voice command has failed based on the voice command and voice recognition surrounding information, acquire the error cause from the voice recognition surrounding information using the error analysis model, and output the acquired error cause through the output unit.

Abstract: Provided are a method of associating an AI device with a device based on a behavior pattern of a user and a device therefor. The method of associating the AI device with the device according to an embodiment of the invention receives a preset behavior pattern of the user sensed by a first camera from the first camera, receives a voice command for controlling an operation of the device from the user, and transmits the voice command to the device, thus allowing devices having no AI function to be used in conjunction with the AI device. The AI device and the dive of the invention may be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

Abstract: An artificial intelligence device for learning a de-identified speech signal includes a memory configured to store a speech recognition model, a microphone configured to acquire an original speech signal, and a processor configured to perform de-identification with respect to the acquired original speech signal and perform speech recognition with respect to the de-identified speech signal through the speech recognition model.

Abstract: A speech recognition method includes learning a first learning model to obtain first speech data corresponding to first training data, learning a second learning model to obtain a first speech recognition result corresponding to second training data, and controlling to change a parameter of the first learning model based on an error of the obtained first speech recognition result. The second training data may be first speech data.

Abstract: A dishwashing method using an artificial intelligence device is disclosed. The dishwashing method using an artificial intelligence device includes: creating a first image, which is an image of the inside of a dishwasher including at least one item to be washed by capturing the inside of the dishwasher; creating a second image, which is a three-dimensional version of the first image, based on the first image; obtaining information on the level of soiling on the at least one item based on the first image; mapping the soling level information to the second image; obtaining a path for washwater to reach the at least one item, based on the second image to which the soling level information is mapped; obtaining the positions of at least one water spray nozzle and at least one washwater reflector so as to spray the washwater along the path; and washing the at least one item based on the above path and the above positions.

Abstract: An embodiment of the present invention relates to a method for collecting learning data using a vehicle terminal equipped with artificial intelligence, the method includes establishing a communication connection with a server of 5G communication networks through a communication unit of the vehicle terminal, obtaining a driving image of the vehicle through an image obtaining unit of the vehicle terminal, inputting the obtained driving image into a neural network model trained to determine whether an event has occurred, and determining whether an event indicating an abnormal operation of the vehicle occurs from the obtained image through an output of the neural network model, extracting an event frame at the time of the event happened in the driving image; and transmitting the extracted event frame to the server.

Abstract: An AI robot for cleaning in consideration of a user's action includes a camera to acquire a first image data for the user, a cleaning unit including a suction unit and a mopping unit, a driving unit configured to drive the AI robot, and a processor to determine the user's action using the first image data, determine a cleaning schedule in consideration of the user's action, and control the cleaning unit and the driving unit based on the determined cleaning schedule.

Abstract: An AI apparatus for providing a notification related to a lane-change of a vehicle includes a sensor unit including at least one of an image sensor, a radar sensor or a LiDAR sensor, and a processor to receive, from the sensor unit, sensor information on a surrounding road and each of at least one external vehicle, to acquire first driving information including a position on the road, a velocity and a steering state with respect to the vehicle using the sensor information, to calculate second driving information including a position, a distance, and a velocity of each of the at least one external vehicle using the sensor information, to determine a lane-change suitability of a lane-change based on the first driving information and the second driving information, and to output a notification related to the lane-change based on the determined lane-change suitability.