Abstract: In one embodiment, a service obtains spatial information regarding a physical area. The service estimates locations of a device within the physical area over time, based on wireless signals sent by the device. The service generates a set of images based on the spatial information regarding the physical area and on the estimated locations of the device within the physical area over time. The service updates an estimated location of the device by inputting the generated set of images to a machine learning model trained to minimize a location estimation error.

Abstract: A first computing device broadcasts a first audio token comprising the first user computing device identifier over two or more audio frequency channels at specified intervals and listens for audio inputs via the two or more audio frequency channels at the specified intervals. The first computing device receives a second audio token generated by a second computing device and communicates the received second audio token to the one or more computing devices. The second computing device receives the first audio token generated by the first computing device and communicates the received first audio token to the one or more computing devices. The one or more computing devices receive the first and second audio tokens and pair the first computing device and the second computing device and facilitate a transfer of data between the first computing device and the second computing device.

Abstract: An image processing method for implementing image recognition using a distributed computing framework is provided. In the method, an image sample data set is obtained by processing circuitry of an image processing apparatus. The image sample data set includes a plurality of image samples. The image sample data set is divided by the processing circuitry into image sample sub-blocks according to a quantity of the image samples in the image sample data set and a quantity of computing nodes of the distributed computing framework. The image sample sub-blocks are distributed by the processing circuitry to the computing nodes. Each of the computing nodes performs image recognition sample training based on the one of the image sample sub-blocks distributed to the respective computing node and obtains a training result corresponding to each image sample in the one of the image sample sub-blocks.

Abstract: In an example, a system for registering a three-dimensional (3D) pose of a workpiece relative to a robotic device is disclosed. The system comprises the robotic device, where the robotic device comprises one or more mounted lasers. The system also comprises one or more sensors configured to detect laser returns from laser rays projected from the one or more mounted lasers and reflected by the workpiece. The system also comprises a processor configured to receive a tessellation of the workpiece, wherein the tessellation comprises a 3D representation of the workpiece made up of cells, convert the laser returns into a 3D point cloud in a robot frame, based on the 3D point cloud, filter visible cells of the tessellation of the workpiece to form a tessellation included set, and solve for the 3D pose of the workpiece relative to the robotic device based on the tessellation included set.

Abstract: Wireless directional communication is performed in the millimeter wave (mmW) band by nodes in a wireless mesh network. Beacon frames are configured to incorporate an activity indicator that signals active and inactive communication directions on the mmW, with a flag for each respective direction of communication (transmit or receive). The activity indicator is utilized to enhance route and beam selection so as to obtain connections subject to less interference, and/or that create less interference to other stations. The activity indicator is also, or alternately, utilized for improving selections of a connection to an access point (AP) or station (STA) or mesh station (MSTA), toward reducing interference, or selecting which beam from a given AP, STA, or MSTA is to be utilized. Distributed interference and resource coordination can be initiated, and/or rerouting determined, based on the activity indicator.

Abstract: A method for detecting a point of interest (POI) change in a pair of inputted POI images. A first processor of the method: generates triplets of training POI images using a base of training POI images and trains a convolutional neural network (CNN) of three-stream Siamese type based on the triplets of training POI images. A second processor of the method: computes, for each image of the pair of inputted POI images, a descriptor of that image using a stream of the CNN of three-stream Siamese type, computes a similarity score based on the descriptors of the images of the pair of inputted POI images using a similarity score function, and selectively detects the POI change based on the similarity score. A third processor of the method generates the base of training POI images to include an initial set of POI images and a set of synthetic POI images.

Abstract: A method and apparatus for outputting three-dimensional (3D) lines. The apparatus acquires a first image and a second image including lines on a road, generates, based on a first feature map acquired from the first image, a line probability map representing a probability that a pixel point of the first feature map belongs to the lines, calculates matching information of the first image and the second image based on the first feature map and a second feature map acquired from the second image, predicts depth values of the lines using the line probability map and the matching information, detects the lines based on the line probability map, generates 3D lines based on the detected lines and the depth values of the lines, and outputs the 3D lines.

Abstract: A mobile terminal is provided including a display unit; a middle frame including a supporting unit that supports a rear surface of the display unit with a side portion around the supporting portion; a main board at a rear surface of the middle frame including a ground; a first wireless communication unit in the main board to transceive a first signal; a second wireless communication unit in the main board to transceive a second signal; and a rear case covering a rear surface of the main board, where the side portion includes a plurality of conductive members with ends divided into slits and the plurality of the conductive members includes a common antenna electrically connectable with the first and second wireless communication units to receive the first and second signals such that the mobile terminal receives different signals with antennas for LTE and 5G communication arranged in a limited space.

Abstract: A queue analyzing method is applied to an image monitoring apparatus for determining whether a rear object belongs to a queue of a front object. The queue analyzing method includes computing an angle difference and an interval between the rear object and the front object, transforming an original interval threshold into an amended interval threshold via the angle difference, comparing the interval with the amended interval threshold, and determining the rear object and the front object belong to the same queue when the interval is smaller than the amended interval threshold.

Abstract: A check procedure of a production process of an artifact, wherein 2D and 3D images are acquired from a work area. The images are processed in an analysis check, using neural networks, to extract data that are sent to a check cycle that checks the data in order to inform alarm situations by a signal.

Abstract: A video output system provided with a camera and an interface device, wherein the interface device is provided with a condition storage unit which specifies conditions under which a video is to be selected by the camera, and a video output unit which outputs a captured video received from the camera, and wherein the camera is provided with: an image sensor; a video generation unit which generates captured videos on the basis of the output of the image sensor; a condition acquisition unit which acquires said conditions from the interface device; a recognition/comparison unit which determines whether or not each captured video generated by the video generation unit meets the acquired conditions, and if it is determined that a captured video meets the conditions, generates identification information on the basis of recognition results of a subject to be recognized that is included in the captured image determined to meet the conditions, and that is associated with the conditions; and a camera calculation unit wh

Abstract: Radio-frequency front-end systems and devices. In some embodiments, a front-end system can include a first mid-band amplifier system configured to amplify transmit and receive signals in a first mid-band. The front-end system can further include a second mid-band amplifier system configured to amplify at least a transmit signal in a second mid-band, such that the front-end system is capable of simultaneous uplink operations in the first mid-band and the second mid-band.

Abstract: Example methods and devices are provided of pairing glasses with an electronic device is provided. The glasses store identification information and device information regarding a plurality of electronic devices, the device information being usable to pair the glasses with the plurality of electronic devices. The glasses obtain an image of at least one electronic device via a camera of the glasses. The glasses extract identification information of the at least one included in the image. The glasses select the electronic device based on the extracted identification information and the stored identification information. The glasses pair with the electronic device based on the device information of the electronic device.

Abstract: Disclosed is an object-detection system configured to utilize multiple object-detection models that generate respective sets of object-detection conclusions to detect objects of interest within images of scenes. The object-detection system is configured to implement a series of functions to reconcile any discrepancies that exist in its multiple sets of object-detection conclusions in order to generate one set of conclusions for each perceived object of interest within a given image.

Abstract: An electronic device and a method of grip recognition of the electronic device are provided. The electronic device includes an antenna; a radio communication unit having a coupler; a memory; and a processor which is operatively connected to the radio communication unit and the memory. The memory comprises instructions, executable by the processor. The processor is configured to detect a first signal being transmitted and a second signal being received through the antenna using the coupler, calculate a reflection coefficient of the antenna based on the first signal and the second signal, determine at least one of a signal magnitude or a phase corresponding to the reflection coefficient, and determine whether the electronic device is being gripped based on the at least one of the signal magnitude or the phase.

Abstract: A system identifies a movement and generates prescriptive analytics of that movement. To identify a movement, a system accesses an image of an observation volume where users execute movements. The system identifies a location including an active region in the image. The active region includes a movement region and a surrounding region. The system identifies musculoskeletal points of a user in the location and determines when the user enters the active area. The system identifies a movement of a user in the active region based on the time evolution of key-points in the active region. The system determines descriptive analytics describing the movement. Based on the descriptive analytics, the system generates prescriptive analytics for the movement and provides the prescriptive analytics to the user. The prescriptive analytics may inform future and/or current movements of the user.

Abstract: An image processing device includes a storage unit, an initial setting unit configured to store a position of an optical axis neighborhood point in a first image obtained by the imaging unit in the storage unit as an initial position of a specific point in the first image in association with image features of a surrounding area of the optical axis neighborhood point, a search unit configured to search for a corresponding point of the specific point in a second image obtained by the imaging unit based on the image features of the surrounding area of the specific point stored in the storage unit, and an output unit configured to output a position of the corresponding point in the second image as a position of the reference point in the second image.

Abstract: Apparatus and methods for signal boosters for vehicles are provided. In certain embodiments, a vehicle signal booster system includes an interior unit including a mobile station antenna that receives an RF uplink signal and transmits a boosted RF downlink signal. The vehicle signal booster system further includes a top unit including a base station antenna that receives an RF downlink signal and transmits a boosted RF uplink signal. The vehicle signal booster system further includes booster circuitry that generates the boosted RF downlink signal based on amplifying one or more downlink channels of the RF downlink signal, and that generates the boosted RF uplink signal based on amplifying one or more uplink channels of the RF uplink signal. The booster circuitry is implemented in the top unit or in the top unit and the interior unit.

Abstract: The device may be enabled to be connected to a first and second cellular network at two different towers simultaneously to provide more reliable connections, or to split voice and data traffic. The devices may further be enabled to selectively turn off radios and place such radios in wait states or low power listen states based on the network connectivity, application rules and application hierarchies. Sensors may forward packets to a mobile device when in the vicinity and these packets may be synchronized selectively with a network server when the mobile device is connected to a network and has sufficient or cheap bandwidth. Various IoT and sensor devices may use non reliable transmit and receive protocols in addition to TCP/IP for uncritical data.

Abstract: According to various embodiments of the present disclosure, an electronic device may include a housing, a conductive pattern that is arranged within the housing and is formed to generate a magnetic field, a plate that forms at least a part of a first surface of the housing and includes a material that at least partially transmits the magnetic field generated by the conductive pattern, and a communication circuit that is configured to transmit at least one transaction information to an external device by using the conductive pattern. The conductive pattern may include a first end that is electrically connected to the communication circuit, a second end that is electrically connected to the communication circuit, and a coil that is connected between the first end and the second end and includes a plurality of turns that are substantially parallel to a surface of the plate.