A vehicle and method for controlling the same, enabling guidance indication, such as turn by turn information to be displayed in cooperation with an interface in the vehicle, such as a cluster are provided to minimize driver distraction and increase usability of phone connectivity to guarantee stability and convenience. The vehicle includes a communication unit that receives navigation data from an outside terminal and a vehicle interface that outputs the navigation data. A controller then recognizes at least one of a mark and a character based on the navigation data and operates the vehicle interface to output the at least one of the mark and the character.

Embodiments of the inventive subject matter are directed to AI systems that are designed to identify whether identification cards or driver's licenses issued to states from the United States are compliant with either Real ID or Enhanced ID laws. When a driver's license or ID card is Real ID compliant, it includes a visual indicator in the form of a small start on the front of the card (e.g., a start located generally at the top right of the card). When a driver's license is Enhanced ID compliant, it will include a small image of an American flag somewhere on the front of the card. AI systems of the inventive subject matter are trained to identify these visual indicators to determine whether an ID is Real ID compliant or Enhanced ID compliant.

Described herein is a computer implemented method. The method includes retrieving original drawing data that includes an ordered set of original drawing points that define an input shape, the original drawing data being associated with a first template shape type. The method further includes generating a plurality of synthetic shapes. Each synthetic shape is defined by an ordered set of synthetic shape points, and generating a particular synthetic shape includes performing a first operation that is based on the original drawing data. For each synthetic shape a training example is generated that includes the synthetic shape and is associated with the first template shape type.

A method receives an electronic image and uses the image as an input to a neural network. Based on a determination that the image represents a document, the method uses the image as an input to another neural network to identify a portion of the document containing an identifier. The method extracts the identifier by performing character recognition on the identified portion and determines whether the identifier is valid by using a validation API to determine whether the identifier is associated with a valid account at an institution. Based on a determination that the identifier is associated with a valid account, the method authorizes a transaction associated with the identifier. Based on a determination that the identifier is not associated with a valid account, the method denies the transaction. The first neural network classifies the electronic image into one of multiple valid document types and an invalid document type.

An out-of-stock detection system notifies store management that a product is out of stock. The system captures images of a shelf and determines the position product labels thereon. For each product label, a bounding box is generated based on the position of each product label on the shelf. The system then identifies a product for each product label based on information within each product label and, for each product label, stores a product identified for each bounding box. Accordingly, the system performs an out-of-stock detection process that includes capturing additional image data of the shelf periodically that includes each bounding box, providing a portion of the additional image data for each bounding box to a model trained to determine whether the bounding box contains products, sending a notification for a product determined to be out of stock to a store client device based on output from the model.

Provided is an image processing device capable of specifying a character area included in an image even if a variable-density difference in an area included in the image other than the character area is large. A feature point specifying unit specifies corners of edges in a target image as feature points. An area obtaining unit obtains, based on a specified result of the feature point specifying unit, an area including a plurality of feature points aligned in a substantially straight line. A character area specifying unit specifies a character area in the target image based on the area obtained by the area obtaining unit.

An imaging part obtains an image of a read object, and a character string recognizing part recognizes a character string in the image. An output format setting part sets one or more output formats of a character string to be read from the image and to be output. A character extracting part obtains a character string for output, at a portion matching any of the one or more output formats among the recognized character string. At this time, a notifying part notifies a possibility of misreading in a case where the character string for output having characters less than a notification threshold number is obtained.

An imaging part obtains an image of a read object, and a character string recognizing part recognizes a character string in the image. An output format setting part sets an output format of a character string to be read from the image and to be output. A character extracting part obtains a candidate for a character string for output, at a portion matching the output format among the recognized character string, and if plural candidates are obtained, selects one of the plural candidates as the character string for output, based on a predetermined condition. A notifying part notifies a possibility of misreading in a case where plural candidates are obtained by the character extracting part.

An imaging part obtains an image of a read object, a shape recognizing part recognizes shapes in the image, and a character string recognizing part recognizes a character string among the recognized shapes. A notifying part notifies a possibility of misreading in a case where a shape, among the recognized shapes, not constituting any character exists in or near the recognized character string. When a character extracting part obtains a character string for output, that is all or a part of the recognized character string, the notification of the possibility of misreading may be performed also in a case where a shape not constituting any character exists in or near the obtained character string for output.

In a character string reading device, an imaging part obtains an image of a read object, and an output format setting part sets an output format of a character string to be read from the image and to be output. A character recognition condition setting part sets a character recognition condition, that only a group of characters including all characters defined by the output format are to be identified, among characters which the character string reading device can identify. A character string recognizing part recognizes a character string in the image according to the character recognition condition. A character extracting part obtains a character string for output, at a portion matching the output format among the recognized character string.