Abstract: An image-processing unit, a system, an automatic loading and/or unloading system and a method for detecting a locking device on a movable object, wherein the locking device locks a plurality of movable objects to one other and is arranged in a locking region of the movable object and the movable object is moved via a loading device, where the locking region can be sensed in a sensing region of at least one camera and an image-processing unit evaluates a signal of the camera to detect locking devices in a locking region of a movable object so as to detect locking devices efficiently and reliably.

Abstract: A gaze point estimation processing apparatus in an embodiment includes a storage configured to store a neural network as a gaze point estimation model and one or more processors. The storage stores a gaze point estimation model generated through learning based on an image for learning and information relating to a first gaze point for the image for learning. The one or more processors estimate information relating to a second gaze point with respect to an image for estimation from the image for estimation using the gaze point estimation model.

Abstract: The disclosure provides an image processing method, an image processing apparatus, an electronic device and a storage medium, which belongs to the field of computer technologies, and specifically relates to computing vision, image processing, face recognition, and deep learning technologies in artificial intelligence. The method includes: performing skin color recognition on a face image to be processed to determine a target skin color of a face contained in the face image; obtaining a reference transformation image corresponding to the face image by processing the face image using any style transfer model in response that a style transfer model set does not comprise a style transfer model corresponding to the target skin color; and obtaining a target transformation image matching the target skin color by adjusting a hue value, a saturation value, and a lightness value of each pixel in the target region based on the target skin color.

Abstract: The present disclosure is directed to a novel system for using a distributed register to generate, manage, and store data for interest-pooled time deposit resource accounts. The invention leverages a pooled resource account approach, allowing for multiple disparate resource accounts to benefit from an enhanced interest return by pooling resource accounts. The system components of the invention contemplate the use of distributed register technology to provide a verified ledger of information related to one or more resource accounts, as well as store system data, user data, and metadata related to the movement and management of resources. By using a distributed register approach to store and verify data related to time-dependent resource account services, the invention provides an automated system and methods for enhancing the flow of sensitive verified information, reducing the need for manual review and increasing the speed at which various resource account services can be validated and executed.

Abstract: An embodiment provides a method including obtaining, using a camera system, imagery of one or more individuals in an environment; analyzing, using a processor, the individual data using a trained model to identify individuals and recognize gestures that are indicative of sickness behavior; presenting, using a display device, information about individuals that have displayed sickness behavior above a calculated threshold.

Abstract: A data processing apparatus is configured to receive a selection of a first function and search for one or more devices which has the capability to perform that first function. The apparatus may then receive a selection of the one or more devices for performing that first function and, in conjunction, determine whether the selected device has the capability to execute a second function. The device identification data may be stored. Subsequently, if the selected device is determined to be capable of executing the second function, which is different from the first function selected, and the second function is further selected, the previously selected device may be displayed as having the capability to execute the selected second function. Otherwise, the apparatus does not display the previously selected device as being able to execute the selected second function.

Abstract: In one implementation, a method of defining a negative space in a three-dimensional scene model is performed at a device including a processor and non-transitory memory. The method includes obtaining a three-dimensional scene model of a physical environment including a plurality of points, wherein each of the plurality of points is associated with a set of coordinates in a three-dimensional space. The method includes defining a subspace in the three-dimensional space with less than a threshold number of the plurality of points. The method includes determining a semantic label for the subspace. The method includes generating a characterization vector of the subspace, wherein the characterization vector includes the spatial extent of the subspace and the semantic label.

Abstract: Certain aspects and features relate to using an image modifier to generate digital designs and to printing the digital designs on a structure for flooring or other decoration that can more realistically mimic designs found in nature or otherwise provide designers with the freedom to create aesthetic designs more easily. An image modifier can receive an image, such as an image of a naturally occurring view and generate modified designs based on the image. The modified designs can be slight modifications to the image and printed on the structures for flooring such that together the printed structures exhibit the appearance of a design found in nature or a desired appearance by a designer.

Abstract: A reading device includes a light source, an image sensor, a background board, and an image processing circuitry. The light source irradiates visible light and invisible light to a subject. The image sensor receives the visible light and the invisible light, each of which is reflected from the subject, to capture a visible image and an invisible image. The background board is provided in an image capturing range of the image sensor. The background board is a background portion. The image processing circuitry detects a feature amount of the subject and the background portion from at least one of the visible image and the invisible image.

Abstract: Apparatuses and methods for approximating a 5-angle color difference model are provided, where the 5-angle color difference model utilizes a 5-angle equation. In an exemplary embodiment, an apparatus includes a storage device for storing instructions and one or more processors configured to execute the instructions. The processor(s) are configured to receive 3-angle standard and test color measurements, and enter the 3-angle standard measurement into a neural network empirical model. The neural network empirical model includes a plurality of input nodes, a plurality of hidden nodes connected to the input nodes, and a plurality of output nodes connected to the hidden nodes. The neural network empirical model is configured to output 3-angle tolerance values, and to calculate a 3-angle color difference value using the 5-angle equation for at least one of the 3 color measurement angles using the 3-angle standard and test color measurements and the 3-angle tolerance values.

Abstract: A method for evaluating image quality is provided. The method may include: obtaining an image, the image including a plurality of elements, each element of the plurality of elements being a pixel or voxel, each element having a gray level; determining, based on a maximum gray level of the plurality of elements, one or more thresholds for segmenting the image; determining one or more sub-images of a region of interest by segmenting, based on the one or more thresholds, the image; and determining, based on the one or more sub-images of the region of interest, a quality index for the image.

Abstract: A method of determining a signal histogram having a predetermined number of bins. The method includes: receiving an input signal; decimating the input signal, thereby generating a decimated signal that includes a maximum signal value and a minimum signal value associated with the maximum signal value; assigning the maximum signal value to a maximum bin of a signal histogram; assigning the minimum signal value to a minimum bin of the signal histogram; and filling at least one intermediate bin of the signal histogram with an intermediate value, wherein the intermediate bin is located between the minimum bin and the maximum bin in the signal histogram.

Abstract: A method for hair analysis of a user. The method segmenting a hair region in an image of the user to obtain a segmented hair region image; identifying one or more dominant hair colour types in; determining RGB values of pixels of the one or more dominant hair colour types; implementing a hair colour dictionary with multiple tints of plurality of hair colours classified as different hair colour names, with each of the classified different hair colour names having a relative RGB value; comparing the determined RGB values of the pixels of the one or more dominant hair colour types and the relative RGB values for the classified different hair colour types to identify the relative RGB value with a minimum distance; and determining the hair colour name corresponding to the identified relative RGB value with the minimum distance.

Abstract: Systems and methods for demographic determination using image recognition. The method includes analyzing an image with a pre-trained lightweight neural network model, where the lightweight neural network model generates a confidence value, and comparing the confidence value to a threshold value to determine if the pre-trained lightweight neural network model is sufficiently accurate. The method further includes analyzing the image with a pre-trained heavyweight neural network model for the confidence value below the threshold value, wherein the pre-trained heavyweight neural network model has above about one million trainable parameters and the pre-trained lightweight neural network model has a number of trainable parameters below one tenth the heavyweight model, and displaying demographic data to a user on a user interface, wherein the user modifies store inventory based on the demographic data.

Abstract: An example system includes a thermal camera, a memory, and processing circuitry coupled to the thermal camera and the memory. The processing circuitry is configured to acquire a core temperature of a patient and acquire a first thermal image associated with the patient. The processing circuitry is configured to determine, based on the first thermal image, a first sensed temperature of a location associated with the patient. The processing circuitry is configured to determine a core temperature delta between the core temperature and the first sensed temperature. The processing circuitry is configured to acquire a second thermal image associated with the patient. The processing circuitry is configured to determine, based on the second thermal image, a second sensed temperature. The processing circuitry is configured to determine, based on the second sensed temperature and the core temperature delta, a measure of the core temperature.

Abstract: A sheet conveying apparatus of an embodiment includes a conveyance path along which a sheet can be conveyed, and a plurality of conveyance rollers configured to move a sheet along the conveyance path. A wireless tag reader/writer is configured to read information from, and write information to, a wireless tag of a sheet on the conveyance path. A controller is configured to detect a phase change in response waves received by the wireless tag reader/writer from a wireless tag. The controller is also configured to identify whether a wireless tag is moving along the conveyance path based on the detected phase change in response waves from the wireless tag. The controller controls the wireless tag reader/writer to write information to the wireless tag identified as moving along the conveyance path.

Abstract: A method of instance segmentation, comprising, defining a bounding box, depth mapping the bounding box, sorting the depth map, estimating stability due to noise of the sorted depth map, detecting low frequency jumps of the sorted depth map based on the estimated stability, detecting high frequency jumps of the sorted depth map, comparing the detected low frequency jumps and the detected high frequency jumps, detecting at least one of a largest object and a closest object based on the comparison and pixel masking the at least one of the largest object and the closest object.

Abstract: A medium-discharging device includes: a discharging section that discharges a medium; a stacker that is configured to stack the medium on a mounting surface and, in a closed state, has the mounting surface facing the housing section; and a first stopper and a second stopper that are configured to switch between a regulating state in which the stopper is in contact with a leading end of the medium and a stored state in which the stopper is stored in the stacker, in which the second stopper is provided at a position which is between the discharging section and the first stopper and at which the second stopper faces the recess when the stacker is in the closed state, and at least a portion of the second stopper enters the recess when the second stopper is in the stored state and when the stacker is in the closed state.

Abstract: A method for capturing an image of a scene using an imaging device is disclosed herein. The method includes determining a coordinate system with an origin based on an initial position of the imaging device, generating a first condition to control the position of the imaging device in the coordinated system with respect to the origin, generating a second condition to control the orientation of the imaging device, determining a position and an orientation of the imaging device, generating a first prompt message in response to the position of the imaging device satisfying the first condition, and generating a second prompt message in response to the orientation of the imaging device satisfying the second condition.

Abstract: A method for determining sample container characteristics is presented. The method comprises providing first image data representing a first image of a sample container in a first scenario, wherein in the first scenario, a first illumination condition comprising a sample container background illumination is applied to the sample container; providing second image data representing a second image of the sample container in a second scenario, wherein in the second scenario, a second illumination condition different from the first is applied to the sample container; determining a mask from the first image that indicates a sub-image section of the first image comprising a sample container representation in the first image; determining sub-image data from the second image containing a sample container representation in the second image by applying the mask to the second image; and determining the sample container characteristics from an image data analysis comprising image sub-image data data analysis.