A method at a server for container location verification within a container yard, the method including requesting image data from at least one image sensor apparatus affixed to a container within the container yard; receiving the image data; and processing the image data to identify a location of a target container.

A method and apparatus for optical character recognition of dot text in an image are described. A plurality of dots that satisfy dot selection criteria are extracted from an image. A transformation is performed on the plurality of dots based on a first candidate distance between adjacent dots along a first orientation and on a second candidate distance between adjacent dots along a second orientation to obtain a transformed image including stroked characters. Model based character matching is performed on the transformed image to output a candidate string of characters.

A method performed by a computer for image analyzation includes: receiving, by a processor of the computer, an image captured by an imaging device; specifying, by the processor of the computer, first and second areas in the image; detecting, by the processor of the computer, a target object from the image in accordance with a certain pattern indicating a range of color saturation in an analysis of a color of the target object; and extending, by the processor of the computer, the range of color saturation in processing of the detecting the target object, when luminance of the first area in the image is lower than a first threshold and luminance of the second area in the image is equal to or higher than a second threshold.

Disclosed is an electronic device that includes a cover glass forming an outer surface of the electronic device, a first guide structure disposed below the cover glass and transmitting light polarized in a specified direction, a display panel disposed below the first guide structure and including a plurality of pixels, a second guide structure disposed below the display panel and transmitting light polarized in the specified direction, and a fingerprint sensor disposed below the second guide structure.

The present disclosure provides an image scanning system and an image scanning method. The image scanning method includes: receiving a first image of a first optical device and a second image of a second optical device; determining objects of the first image or the second image; selecting at least one of the objects of the first image or the second image as a region of interest to scan the region of interest continuously by the second optical device so as to obtain depth image information of the region of interest; and integrating the depth image information into the first or second image. Therefore, the present disclosure obtains higher image resolutions, faster scanning speeds and more accurate recognition results.

Facial recognition-based authentication comprises obtaining a first image of a target object, updating projection information associated with a display by a display device, obtaining a second image of the target object, the second image being an image of the target object after the projection information is updated, obtaining an image difference data based at least in part on the first image and the second image, and determining whether the target object is a virtual object based at least in part on the image difference data.

A commodity registration apparatus configured to perform object recognition includes an interface connected to receive captured images, a storage unit storing a dictionary for the object recognition, and a processor. The processor is configured to designate a learning target article for learning processing, extract, from each captured image, feature value indicating feature of an article contained in the captured image, compare each of the extracted feature values with stored feature values of the learning target article registered in the dictionary and calculate a similarity degree therebetween, generate relationship information indicating a relationship between the captured images based on the calculated similarity degrees, exclude captured images that meet a predetermined condition based on the relationship information, and execute the learning processing by adding, to the dictionary with respect to the learning target article, the feature values indicating features of the article contained in the non-excluded captured images.

In an approach to determining pavement markings, a computer determines a location of a first computing device based on data received from one or more location devices associated with the first computing device. The computer then retrieves pavement marking data for one or more pavement markings for the location and determines whether one or more existing pavement markings are present at the location. Responsive to determining that one or more existing pavement markings are present at the location, the computer determines whether each of the one or more existing pavement markings meet one or more pre-determined thresholds for an acceptable pavement marking quality. Furthermore, responsive to determining each of the one or more existing pavement markings do not meet the one or more pre-determined thresholds for an acceptable pavement marking quality level, the computer provides pavement marking data to the first computing device.

An image reconstruction method and device, a glasses device and a display system. The image reconstruction device includes: an image collecting unit, a processing unit and an image combination unit. The image collecting unit is configured to collect an initial image that has pixel gaps between adjacent pixel groups; the processing unit is configured to reconstruct the initial image to form a reconstructed image, where a position of each pixel group in the reconstructed image corresponds to a pixel gap adjacent to a corresponding pixel group in the initial image; and the image combination unit is configured to combine the initial image and the reconstructed image to generate an output.