Abstract: A method of generating a spatial map includes obtaining a captured image of a target area in a space, obtaining light detection and ranging (LiDAR) scan data by scanning a depth of the target area with respect to a first height, performing object detection on the captured image, and, according to the performed object detection, generating a spatial map of the target area, based on all of the LiDAR scan data and the captured image.

Abstract: An electronic device and a controlling method of the electronic device are provided.

Abstract: A control method for an electronic device is disclosed. The control method comprises the steps of during a call with a user of another electronic device by means of an electronic device, acquiring at least one keyword from a content of the call with the user of the another electronic device displaying the at least one keyword during the call and providing a search result for a keyword selected by a user from among the displayed at least one keyword. Particularly, at least a part of the control method of the present disclosure may use an artificial intelligence model learned according to at least one of machine learning, a neural network, and a deep learning algorithm.

Abstract: An electronic device is provided. The electronic device includes a display, a touch sensor disposed in the display and including a plurality of lines and a plurality of nodes formed by the plurality of lines, a memory storing instructions, and a processor. The instructions, when being executed by the processor, cause the electronic device to obtain a plurality of node values from each of the plurality of nodes, change the touch sensitivity of the touch sensor from a first touch sensitivity to a second touch sensitivity lower than the first touch sensitivity based on identifying a pattern by the plurality of node values, identify whether to recognize contact on the touch sensor as a touch input through the plurality of line values obtained from each of the plurality of lines based on identifying changes of the pattern by the plurality of node values.

Abstract: An electronic device and a controlling method of the electronic device are provided.

Abstract: Provided is an electronic apparatus, including: a sensor; a camera; a storage configured to store first and second artificial intelligence models; a first processor; and a second processor. The second processor is configured to: input an image obtained through the camera to the first artificial intelligence model and identify the object of the first type in the image, and input the image obtained through the camera to the second artificial intelligence model and identify the object of the second type, at least a part of which is not viewable in the image. The first processor is configured to: determine a distance between the object of the first type and the object of the second type based on sensing data received from the sensor; and control the electronic apparatus to travel based on the determined distance.

Abstract: An electronic device is provided. The electronic device includes a display, a touch sensor disposed in the display and including a plurality of lines and a plurality of nodes formed by the plurality of lines, a memory storing instructions, and a processor. The instructions, when being executed by the processor, cause the electronic device to obtain a plurality of node values from each of the plurality of nodes, change the touch sensitivity of the touch sensor from a first touch sensitivity to a second touch sensitivity lower than the first touch sensitivity based on identifying a pattern by the plurality of node values, identify whether to recognize contact on the touch sensor as a touch input through the plurality of line values obtained from each of the plurality of lines based on identifying changes of the pattern by the plurality of node values.

Abstract: Provided is an electronic apparatus, including: a sensor; a camera; a storage configured to store first and second artificial intelligence models; a first processor; and a second processor. The second processor is configured to: input an image obtained through the camera to the first artificial intelligence model and identify the object of the first type in the image, and input the image obtained through the camera to the second artificial intelligence model and identify the object of the second type, at least a part of which is not viewable in the image. The first processor is configured to: determine a distance between the object of the first type and the object of the second type based on sensing data received from the sensor; and control the electronic apparatus to travel based on the determined distance.

Abstract: An electronic device and a control method thereof are provided.

Abstract: Provided is a method of identifying a touch type of a user touch input with respect to an electronic device, the method including: obtaining touch data from a touch input received from a user; determining a touch recognition model set consisting of touch recognition models to be used to identify a touch type of the touch input of the user from among a plurality of touch recognition models corresponding to a plurality of partial time periods included in a time in which the touch input is maintained; obtaining touch type probability values with respect to the touch input of the user by applying the touch data to the touch recognition models included in the touch recognition model set; and identifying a touch type of the touch input, based on the obtained touch type probability values.

Abstract: Provided are a method and an electronic device for generating a point cloud. The method includes obtaining, from at least one sensor of the electronic device, first sensing data corresponding to an object, obtaining a first point cloud corresponding to the object, based on the first sensing data, identifying, by using at least one artificial intelligence model, at least one outlier point indicating violation of at least one predefined rule in the first point cloud, and providing a re-photographing location guide for re-photographing the object, based on the at least one outlier point.

Abstract: Provided is a method, performed by a server, of providing a personalized spatial map, the method comprising: obtaining a first spatial map including first map features representing spatial information about a space; obtaining a second spatial map based on sensor data obtained by measuring the space, the second spatial map including second map features; identifying third map features for map alignment from among the first map features and the second map features; aligning the first spatial map and the second spatial map, based on the identified third map features; identifying local areas in the space where at least one difference exists between the first spatial map and the second spatial map; and generating the personalized spatial map by identifying pieces of spatial information about the local areas based on the second map features.

Abstract: A method of training an object recognition model by using spatial information is provided. The method includes obtaining spatial information including illumination information corresponding to a plurality of spots in a space, obtaining illumination information corresponding to at least one spot of the plurality of spots from the spatial information, obtaining training data by using the obtained illumination information and an image obtained by capturing the at least one spot, and training a neural network model for object recognition by using the training data.

Abstract: A method of controlling an electronic device by using spatial information and an electronic device using spatial information are provided. The method includes selecting, based on spatial information about a space including at least one object and a task that the electronic device is set to perform, an object that obstructs the task from among objects located in a space corresponding to the task, providing a user of the electronic device with object movement guide information corresponding to attribute information about the selected object, determining a movement path used to perform the task, based on a user's response corresponding to the object movement guide information, and driving the electronic device according to the determined movement path.

Abstract: A method of generating a three-dimensional (3D) model and a device for generating a 3D model are provided. The method includes generating a base 3D model of an object, determining a first target 3D model similar to the base 3D model from a 3D model database storing a plurality of 3D models, generating a first synthesized 3D model, determining a first similarity between the first synthesized 3D model and the at least one object image, determining a component having a low similarity between the first synthesized 3D model and the at least one object image, determining, as a second target 3D model, a 3D model having a high similarity to the first synthesized 3D model with respect to the component having the low similarity, from the 3D model database, and generating a second synthesized 3D model.

Abstract: An electronic device and a controlling method of the electronic device are provided.

Abstract: An electronic device and a controlling method of the electronic device are provided.

Abstract: A method of identifying, in an electronic device, a force associated with a touch input of a user is provided. The method includes receiving at least one touch input from the user; obtaining first feature information for the at least one touch input; obtaining a plurality of force touch models configured to identify force touch; obtaining second feature information for at least one touch input included in training data used to train the plurality of force touch models; determining, from among the plurality of force touch models, a force touch model based on a similarity between the second feature information and the first feature information; and identifying, based on the determined force touch model, a force touch for the at least one touch input of the user.

Abstract: Provided is an electronic device configured to perform an operation corresponding to a user input by using an artificial intelligence model, and a method performed by the electronic device, of performing the operation. The method comprises obtaining touch data related to a touch input of a user, identifying a first training data set similar to the touch data from a plurality of pre-stored training data sets, training an artificial intelligence model based on the first training data set, identifying a type of a user input that is input to the electronic device, based on the trained artificial intelligence model, and performing an operation corresponding to the identified type of the user input.

Abstract: A method includes: obtaining a first image of an object including a surface having a non-flat shape; identifying a region corresponding to the surface as a region of interest by applying the first image to a first artificial intelligence model; obtaining data about a three-dimensional (3D) shape type of the object by applying the first image to a second AI model; obtaining a set of values of a 3D parameter related to the object, the surface, or the first camera, based on the region and the data; estimating the non-flat shape of the surface, based on the set of values of the 3D parameter; and obtaining a flat surface image in which the non-flat shape of the surface is flattened, by performing a perspective transformation on the surface.