A component mounting device includes a head unit including a mounting head configured to mount a component on a substrate, and an imaging unit provided on the head unit and configured to image at least one of a suction position of the component to be suctioned by the mounting head and a mounting position of the component mounted by the mounting head from a plurality of directions, such that the imaging unit is configured to capture a first image and a second image. The component mounting device is configured to expand or contract the first image captured by the imaging unit in accordance with an imaging direction of the second image, and acquire a height position of an imaged location based on the first image that has been expanded or contracted and the second image.

An electronic device and method are disclosed. The device includes a housing, at least one camera, a plurality of microphones configured to detect a direction of a sound source, at least one driver operable to rotate and/or move at least part of the housing, a wireless communication circuit, a processor operatively connected to the camera, the microphones, the driver, and the wireless communication circuit, and a memory. The processor implements the method, including: receiving a user utterance, detect a first direction from which the user utterance originated, control the driver to rotate and/or move towards the first direction, a first image scan for the first direction and analyze the image for a presence of a user, when the user is not detected, rotate and/or move the at least part of the housing in a second direction, and perform a second image scan.

A method of operating an activity recognition system includes capturing ambient radio frequency (RF) data by an RF sniffer. The ambient RF data is then received by a processor. The processor reduces noise content of the ambient RF data. Background is then subtracted from the ambient RF data by the processor. The processed ambient RF data is then converted into an image by the processor. The system generates successive images for each one of a plurality of time intervals. An image processing algorithm, stored in a storage medium and executed by the processor, is applied to the plurality of successive images to determine activity recognition.

Provided is a technology for extracting an image of a target plane from 2D or 3D image data acquired by a medical imaging apparatus with a small amount of computation and at high speed. A plane of a target plane including a predetermined structure is extracted from image data of a subject. A region of the predetermined structure included in the plane is detected by applying a learning model learned using learning data including a target plane for learning including an image of the structure and a region-of-interest plane for learning obtained by cutting out and enlarging a partial region including the structure in the target plane for learning to a plurality of planes obtained from the image data, and the plane of the target plane is extracted based on the detected region of the predetermined structure.

An electronic device is provided which includes a light emitting module that radiates infrared light, a window disposed on the light emitting module and having a specific refractive index with respect to the infrared light, wherein the window includes a refraction part that totally reflects the infrared light inside the window in correspondence with the specific refractive index, and a fingerprint sensor disposed under the window and obtaining a fingerprint of a user based on a user input on the window by using scattered light of the infrared light.

Introduced here is a machine learning related technique for supplying an observed model additional training data based upon previously received training data. To determine textual content of a character string based on a digital image that includes a handwritten version of the character string a substantial amount of training data is used. The character string can include one or more characters, and the characters can include any of letters, numerals, punctuation marks, symbols, spaces, etc. Disclosed herein is a technique to determine variations between different images of matching known character strings and substitute those variations into the images in order to create more images with the same known character string.

Methods and systems for generating and displaying a simulated anatomical photograph based on a medical image generated by an imaging modality. The system comprises an electronic processor configured to receive the medical image, determine an anatomical structure in the medical image, and automatically generate the simulated anatomical photograph based on the anatomical structure, wherein the pixels of the simulated anatomical photograph represent a simulated cross-sectional anatomical photograph of the anatomical structure. The electronic processor is also configured to determine a degree of confidence of a portion of the simulated anatomical photograph, compare the degree of confidence to a threshold, and, in response to the degree of confidence of the portion of the simulated anatomical photograph failing to satisfy the threshold, display the portion of the simulated anatomical photograph differently from another portion of the simulated anatomical photograph.

Introduced here is a machine learning related technique for supplying an observed model additional training data based upon previously received training data. To determine textual content of a character string based on a digital image that includes a handwritten version of the character string a substantial amount of training data is used. The character string can include one or more characters, and the characters can include any of letters, numerals, punctuation marks, symbols, spaces, etc. Disclosed herein is a technique to determine variations between different images of matching known character strings and substitute those variations into the images in order to create more images with the same known character string.

Disclosed here is a method of generating a dental recommendation based on image processing. Further, the method may include receiving at least one patient data comprising at least one image from at least one patient device. Further, the method may include retrieving at least one dental dataset. Further, the method may include analyzing the at least one patient data and the at least one dental dataset. Further, the method may include generating at least one landmark based on the analyzing. Further, the method may include retrieving at least one dental reference dataset. Further, the method may include processing the at least one landmark and the at least one dental reference dataset, determining at least one dental recommendation based on the processing, transmitting the at least one dental recommendation to at least one external device and storing the at least one dental recommendation.

An image processing method is provided. The method includes acquiring image data; obtaining a page pixel average value of the image data; acquiring image processing parameters based on the page pixel average value; obtaining a pixel processing threshold by a calculation based on at least a first portion of the image processing parameters; based on the pixel processing threshold, adjusting a pixel value of a current pixel of the image data by using at least a second portion of the image processing parameters; and outputting an adjusted image according to the adjusted pixel value of the current pixel of the image data.