An information processing device (2) includes a division unit (322) that divides an input image into a plurality of divided images having the same size, a rotation unit (324) that rotates, according to positions on the input image before the division, the plurality of divided images, and a recognition unit (325) that recognizes the plurality of divided images after the rotation.

A gate apparatus includes a gate unit which is disposed on a second plane crossing a first plane in which an authentication object moves in one direction and which partitions a moving space of the authentication object from another space, an inclined face which is formed on the gate unit to cross the first plane and the second plane and which is inclined upwardly from the first plane, a display configured to display an image on the inclined face, and an image acquisition unit configured to capture an image of the authentication object in proximity to the display.

Apparatuses, systems, methods, and computer program products are presented for a propensity module based optimization. An apparatus comprises a processor and a memory that stores code executable by the processor to receive an electronic submission for a pass/fail interface, identify information from the electronic submission to suggest to a user for entering into an input field for the pass/fail interface prior to submitting the electronic submission to the pass/fail interface to reduce a likelihood that the electronic submission will be rejected at the pass/fail interface, determine the likelihood that the electronic submission will be accepted by the pass/fail interface, and submit the electronic submission to the pass/fail interface in response to the likelihood satisfying a threshold.

The present invention relates to systems and methods of express tracking for patient flow management in a distributed environment. Particularly, aspects are directed to a computer implemented method that includes initiating a check-in process that includes prompting a user to scan an identifier, processing the identifier using a cascade machine-learning architecture comprising of a multi-task convolutional neural network model and a recurrent neural network model to obtain the classification of the identifier and member identification information, determining whether the user is known user based on the member identification information, when the user is a known user, verifying user data saved in the computing system associated with the identifier, once the user data is verified, determining whether the user has a scheduled appointment; and when the user has a scheduled appointment, checking the user in for the scheduled appointment.

Systems and methods for mobile enrollment in automated clearing house (ACH) transactions using mobile-captured images of financial documents are provided. Applications running on a mobile device provide for the capture and processing of images of documents needed for enrollment in an ACH transaction, such as a blank check, remittance statement and driver's license. Data from the mobile-captured images that is needed for enrolling in ACH transactions is extracted from the processed images, such as a user's name, address, bank account number and bank routing number. The user can edit the extracted data, select the type of document that is being captured, authorize the creation of an ACH transaction and select an originator of the ACH transaction. The extracted data and originator information is transmitted to a remote server along with the user's authorization so the ACH transaction can be setup between the originator's and receiver's bank accounts.

Real-time evaluation and enhancement of image quality prior to capturing an image of a document on a mobile device is provided. An image capture process is initiated on a mobile device during which a user of the mobile device prepares to capture the image of the document, utilizing hardware and software on the mobile device to measure and achieve optimal parameters for image capture. Feedback may be provided to a user of the mobile device to instruct the user on how to manually optimize certain parameters relating to image quality, such as the angle, motion and distance of the mobile device from the document. When the optimal parameters for image capture of the document are achieved, at least one image of the document is automatically captured by the mobile device.

Aspects described herein may allow for generating a set of customized artificial fingernails based on the shape and size of the fingernails of an individual user. A computing system may generate an output file to produce the customized artificial fingernails based on a set of images displaying top-down views of a set of fingernails of a user. A reference table may be used to predict the curvature factor of each of the user's fingernails to provide information for the system regarding the three-dimensional size and shape of the user's fingernail simply based on the two-dimensional top-down views of fingernails in the set of images. That may help the user to get customized artificial fingernails in an easy and convenient way without the burden to display the user's fingernails from multiple angles.

An image processing system includes a detection processing portion, a first correction processing portion, and a reading processing portion. The detection processing portion detects an outline of an information code included in a captured image. The first correction processing portion corrects a shape of the information code based on the outline of the information code detected by the detection processing portion. The reading processing portion reads information included in the information code from the information code after correction by the first correction processing portion.

The invention relates to a control and operating system for working on a track with a track maintenance machine, with at least one machine frame movable on rail-based running gears, comprising working devices , a sensor and measuring system for recording the position data of the working devices and for detecting objects of the track, in particular sleepers, rails, and, as the case may be, obstacles, and further comprising an arrangement of cameras for optical detection of the working devices and the working areas. It is provided that a control station without free visual range of a respective working device is set up at a location inside or outside the track maintenance machine and that the control station comprises a display device for virtual operation, control, and/or monitoring of the track maintenance machine. This achieves greater flexibility during working operation, an extension of the controlling and operating options, and a significant increase in safety and ergonomic design at the workstation.

A detection apparatus detects a tilt of a LiDAR apparatus that is mounted to a vehicle. The detection apparatus includes a distance image acquiring unit, a surroundings information acquiring unit, and a detecting unit. The distance image acquiring unit acquires a distance image that is expressed by a detection point group that is detected by the LiDAR apparatus. The surroundings information acquiring unit acquires surroundings information on a periphery of a traveling route of the vehicle. The detecting unit that determines the tilt of the LiDAR apparatus based on the acquired distance image and the acquired surroundings information.