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.

Disclosed are various examples for enrollment of gateway enrollment for Internet-of-Things (IoT) device management using a client device. In one example, an onboarding token is retrieved using a request for the onboarding token. The request is authenticated based on user credentials. A gateway account is created using a request to create the gateway account that is transmitted to the management service. The request to create the gateway account includes a gateway identifier. The request is authenticated based on the onboarding token. Gateway credentials for the gateway account are relayed from the management service to the gateway. The gateway credentials authenticate communications between the gateway and the management service. The gateway credentials are concealed from users of the client device.

Aspects of the disclosure relate to enhanced check processing systems with improved check validation features and enhanced information security. A computing platform may determine whether a correlation between source data and metadata associated with a check exceeds a predetermined correlation threshold. Based on determining that the correlation does not exceed the predetermined correlation threshold, the computing platform may direct an OCR computing system to perform character recognition on the check. Then, the computing platform may determine whether a discrepancy between the metadata and an OCR output from the OCR computing system exceeds a predetermined resolution threshold. In response to determining that the discrepancy between the OCR output and the metadata does not exceed the predetermined resolution threshold, the computing platform may update stored records associated with the check. Subsequently, the computing platform may direct a DDA computing system to post a corrected payment associated with the check.

Enhanced battery edge detection devices, systems, and techniques are described herein. During an inspection process, an inspection system controls one or more non-visible light sources to illuminate a battery installed in an electronic device. The illumination activates a reflective pigment applied to at least a portion of an edge of the battery. The inspection system controls one or more cameras to capture at least one image of the illuminated battery installed in the electronic device. The at least one image is processed to detect the edge of the battery and to measure a gap size between the edge of the battery and a region of the electronic device proximate the edge of the battery. The electronic device and battery are flagged for further inspection if the measured gap size is below a threshold indicative of a zero gap event.

Disclosed herein are devices and methods for modifying a conventional imager to have functional features similar to that of a lock-in camera. Optical mask devices are configured to be coupled to conventional imager sensors and the configuration of the mask devices can be adjusted to acquire image data in rapid succession. One variation of an optical mask device comprises a substrate comprising a pattern of light-blocking and light-transmitting regions and an attachment structure for coupling the optical mask device to the imager. The substrate is configured to adjust the position of the light-blocking regions and light-transmitting regions relative to the light-sensing region of the imager based on a set of one or more predetermined substrate configurations. In some variations, the mask device and/or the imager sensor may be mechanically moved relative to each other based on the set of one or more predetermined substrate configurations.

The invention relates to a method for background removal from documents. The method includes obtaining an image of a document, performing a clustering operation on the image to obtain a plurality of image segments, and performing, for each image segment, a foreground/background classification to determine whether the image segment includes foreground. The method further includes obtaining an augmented image by combining the image segments that include foreground, and obtaining a background-treated image by cropping the image of the document, based on the foreground in the augmented image.

Disclosed herein are devices and methods for modifying a conventional imager to have functional features similar to that of a lock-in camera. Optical mask devices are configured to be coupled to conventional imager sensors and the configuration of the mask devices can be adjusted to acquire image data in rapid succession. One variation of an optical mask device comprises a substrate comprising a pattern of light-blocking and light-transmitting regions and an attachment structure for coupling the optical mask device to the imager. The substrate is configured to adjust the position of the light-blocking regions and light-transmitting regions relative to the light-sensing region of the imager based on a set of one or more predetermined substrate configurations. In some variations, the mask device and/or the imager sensor may be mechanically moved relative to each other based on the set of one or more predetermined substrate configurations.

The present disclosure is generally directed to systems and methods for executing optical character recognition faster than at least some traditional OCR systems, without sacrificing recognition accuracy. Towards this end, various exemplary embodiments involve the use of a bounding box and a grid-based template to identify certain unique aspects of each of various characters and/or numerals. For example, in one embodiment, the grid-based template can be used to recognize a numeral and/or a character based on a difference in centerline height between the numeral and the character when a monospaced font is used. In another exemplary embodiment, the grid-based template can be used to recognize an individual digit among a plurality of digits based on certain parts of the individual digit being uniquely located in specific portions of the grid-based template.

An example method is of image processing provided in according with one implementation of the present disclosure. The method includes receiving an image, placing a window across the image, and computing a set of all occurring grayscale values within the window. The method further includes computing a threshold value based on the set of all occurring grayscale values within the window and determining an output pixel value of at least one pixel from the window based on the threshold value.

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.