Abstract: An object position detection device includes a first distance detection unit detecting a distance of an object from images, a first position detection unit detecting a position of the object based on the distance, a processing area which contains the object detected by the first distance detection unit in images, a second position detection unit that detects a position of the object in the processing area, a second distance detection unit that detects a distance of the object based on the position of the object detected by the second position detection unit, a unit that detects an orientation of the object based on the position of the object detected by the second position detection unit, and a determination unit that determines the distance and the position of the object in accordance with information of detections executed by the first and the second distance detection units, and the orientation detection unit.

Abstract: This application provides a collision detection method and related apparatus. An image taken by a photographing unit may be used to predict whether a collision with a to-be-detected target will occur. In a current collision prediction method, a type of the to-be-detected target needs to be determined first based on the image taken by the photographing unit, which requires consuming of a large amount of computing power. In the collision prediction method provided in this application, a change trend of a distance between the to-be-detected target and a vehicle in which the apparatus is located may be determined based on the distances between the to-be-detected target and the vehicle at different moments, to predict a collision between the to-be-detected target and the vehicle. This method can improve efficiency in collision prediction and reduce energy consumption in predicting collision.

Abstract: An image distribution apparatus includes an acquisition unit configured to acquire information about a gazing area specified by a user in a first image, and a transmission unit configured to transmit, from a second image having resolution higher than resolution of the first image and divided into a plurality of tile images, a first tile image where the gazing area belongs and a second tile image adjacent to the first tile image.

Abstract: A tracking system includes one or more wireless tags, a sensing device, and a processor. The sensing device is configured to generate sensing data representative of one or more people or objects in a scene. The processor is configured to detect the presence of the wireless tags within the scene. The processor is further configured to receive sensing data representative of objects in the scene and to identify tracks corresponding to the objects. The processor is further configured to process the received sensing data to generate a track descriptor associated with each of the identified objects, each track descriptor being representative of attributes of the corresponding object. The processor is also configured to analyze track descriptors associated with tracks when a wireless tag is present in the target scene. The processor is further configured to determine tracks associated the wireless tags based on the track descriptors present in the scene.

Abstract: Systems and methods for generating a panorama image. Captured images are coarsely aligned, and then finely aligned based on a combination of constraint values. The panorama image is generated from the finely aligned images.

Abstract: An apparatus includes an extraction unit configured to extract a plurality of feature information from an image obtained by capturing a real space including a tracking target object, an index estimation unit configured to detect an index arranged on the tracking target object from the image, and estimate a position and orientation of the index, a target object estimation unit configured to estimate a position and orientation of the tracking target object based on the position and orientation of the index and a tracking target model, a classification unit configured to classify the plurality of feature information based on a position and orientation of a camera capturing the real space and the position and orientation of the tracking target object, and a construction unit configured to add feature information determined as belonging to the tracking target object by the classification unit, to the tracking target model.

Abstract: Embodiments of the invention are directed to detecting changes to a firebreak line in an environment. Aspects include obtaining a reference aerial image of an area of interest and a current aerial image of the area of interest and identifying, based on the reference aerial image, one or more firebreak lines in the area of interest. Aspects also include identifying, based on a comparison of the reference aerial image and the current aerial image, an anomaly in at least one of the one or more firebreak lines. Aspects further include transmitting an alert, based on detecting the anomaly, the alert including an indication of the detected anomaly.

Abstract: There is therefore provided a method, system and computer program for detecting duplicate optical-fiber connector endface inspections performed on a same optical-fiber connector. Duplicate optical-fiber connector endface inspections can be detected by extracting a signature of the optical-fiber connector endface from the acquired optical-fiber connector endface inspection image to uniquely identify the optical-fiber connector and detect duplicate optical-fiber connector endface inspections. The signature can be stored to help detection of inadvertent or fraudulent duplicate or repetitive measurements made on a same optical-fiber connector.

Abstract: Methods and systems for wireless communication are provided. In one example, a mobile device is configured to: obtain beam support information of a plurality of cells; perform measurements of one or more signals at the mobile device based on the beam support information of the plurality of cells to support a location determination operation for the mobile device; and transmit results of the measurements of the one or more signals to at least one of a location server or to a base station to support the location determination operation. The beam support information may include: a number of beams supported at each cell of the plurality of cells, information to identify each beam of the number of beams supported at the each cell, beam width information of the each beam, and/or Positioning reference Signals (PRS) codebook information which encapsulates the beams which are enabled along various elevation and azimuth angles.

Abstract: An image authentication method and a real-time product authentication system are provided. The method includes the following steps: inputting a training image in a training phase; segmenting the training image into a plurality of training sub-images; and training the deep learning model by using the plurality of training sub-images, wherein each of the plurality of training images includes a global feature property. The steps in the testing phase include: inputting a testing image and segmenting the testing image into a plurality of testing sub-images; performing a test on each of the plurality of testing sub-images and checking whether each of the plurality of testing sub-images is associated with one of the plurality of categories; and outputting an authentication result to identify whether the testing image is associated with one of the plurality of categories.

Abstract: Disclosed herein is a system that includes an order processing subsystem and a delivery processing subsystem comprising at least one database and one or more processors. The one or more processors of the delivery processing subsystem is configured to receive a request for a user to access the delivery processing subsystem and a scanning device, authenticate the user by verifying the request with user credentials stored in the at least one database, provide the user with access to the delivery processing subsystem and the scanning device, receive scanned data from the scanning device, retrieve package data regarding a package for an inmate based on the scanned data from the scanning device, and generate, based on the package data, a route in the correctional facility for delivery of the package to the inmate in the correctional facility, wherein the route does not include an identity of the inmate.

Abstract: Provided are an image detection method and apparatus, a device, a storage medium and a computer program product, the method includes: performing feature extraction on an image to be detected to obtain a feature map; performing target detection on the feature map through a target branch network to obtain target detection information of candidate anchor boxes at a pixel position of the feature map; performing keypoint detection on the feature map through a keypoint branch network to obtain positions of keypoints in the candidate anchor boxes at the pixel position of the feature map, and generating heatmap groups of the candidate anchor boxes according to the positions of the keypoints; and obtaining information about a target object in the image to be detected and positions of keypoints of the target object according to the target detection information and the heatmap groups.

Abstract: Disclosed are portable containers for delivering food products from a central location to a remote location. More specifically, the disclosure relates to portable containers for delivering food products operable to maintain an environment for the food product during the delivery process.

Abstract: Disclosed is an image processing method and apparatus. The image processing method includes obtaining visual information related to an object in an image, generating valid data from the image based on the visual information, and transmitting the valid data.

Abstract: Contract tracing systems and methods for infectious disease tracking are disclosed. An infectious disease tracking system includes a plurality of user devices, each user device configured to detect, using a wireless communication module, a signal emitted by another one of the plurality of user devices. The user device can determine that a strength of the signal exceeds a predetermined event initiation signal strength threshold corresponding to a physical proximity between users of the devices and can store a contact tracing event record in response to determining that the strength of the signal exceeds the predetermined event initiation signal strength threshold. The user device can transmit the contact tracing event records to a data center where they can be stored and used to identify close contacts when an index case of an infectious disease is identified.

Abstract: A computer implemented method and system for identifying locations in photographs using topographic techniques is disclosed. The method comprises receiving an image; in response to receiving the image, generating a depth map of the image; removing non-geographic features from the depth map; generating a topographic map based on the depth map; modifying the topographic map to represent each pixel by height differential; and comparing the modified topographic map to a modified global topographic map to determine a location of the image.

Abstract: Examples of the present disclosure relate to the optical identification of telecommunications equipment. In examples, a user interacts with an application to capture image data relating to a device according to instructions presented to the user. The application may further generate metadata, such as user responses to one or more questions. The image data and/or metadata are evaluated using a machine learning model to generate an equipment classification for devices pictured therein. The data may also be used to generate an equipment configuration for the device, as well as an operational state (e.g., based on one or more indicators present on the device, log data, etc.). Accordingly, such information may be used to update a pre-existing inventory record for the device, or generate a new inventory record. In other examples, such information is used to generate one or more predicted issues and associated actions to troubleshoot the device.

Abstract: A mobile virtual network operator is provided. The operator includes a server that is communicatively coupled to a mobile device. The mobile device includes application software provided by the virtual network operator for allowing phone call and data connectivity.

Abstract: An image processing apparatus that records a high dynamic range (HDR) signal as a file. The apparatus acquires information indicating peak luminance corresponding to one output dynamic range, of a plurality of different output dynamic ranges, in accordance with shooting settings of the HDR signal. The apparatus then records a first value based on the acquired information to the file along with the HDR signal.

Abstract: An information processing apparatus and non-transitory computer readable medium are provided. The information processing apparatus includes a processor configured to: receive a user operation performed on a display displaying a screen presenting first content, the user operation is a gesture moving along the display from a first point of the display to a second point of the display in contact with the display; perform, in response to the user operation being in a first predetermined direction and ending outside the screen, a first predetermined operation displaying second content that is different from the first content; and perform, in response to the user operation being in the first predetermined direction and not ending outside the screen, a second predetermined operation that is different from the first predetermined operation.