At least one processor of an image processing system acquires a target object image including a target object. The at least one processor detects, from the target object image, a plurality of line segments located relatively on an outer side based on predetermined line segment detection processing. The at least one processor acquires, based on the plurality of line segments, information about an outline of the target object in the target object image. The at least one processor processes, based on the information, at least a part of the target object image so that the outline matches or approximates a predetermined outline.

The present invention provides a display screen with an integrated video camera optimized to capture the display screen's information and a light source that injects colored light into the edge of the display screen. Additionally, the system comprises a color blending instrument to blend the primary colors of red, green, blue, and a combination thereof to create an unlimited variety of color combinations that are injected into the display screen.

Embodiments of the present disclosure provide for an apparatus for a device for writing with character stroke sensing. In one instance, the device may include a body, a component for writing disposed substantially lengthwise inside the body, and one or more sensors disposed inside the body, substantially around with the component for writing, to sense deviations of the component for writing from a default position inside the body, in response to a contact of the component for writing with a writing medium. The sensed deviations are used to generate data indicative of character strokes the component for writing imparts on the writing medium. Other embodiments may be described and/or claimed.

A method and system of determining shape of a table in a document is disclosed. A region of interest (ROI) from a binarized image of the document is determined is detected corresponding to the table based on detection of a plurality of lines. The ROI is extracted based on a minimum height threshold and a minimum width threshold of the document image. A cluster of points corresponding to each corner of the ROI are determined based on a height of the ROI and contour detection. A corner type of each corner is determined to be one of a 10 pointed corner or a curved corner and in case the corner type of least two corners is determined as the curved corner the shape of the table is determined as a rounded corner structure.

The present disclosure relates to an automatic beverage vending machine. The vending machine includes at least one beverage maker operable for making at least one beverage. The vending machine further includes a receiving station operable for receiving at least one cup at an exterior of the vending machine and moving the cup to an interior of the vending machine. The vending machine further includes a conveying mechanism operable for transferring the cup from the receiving station to the beverage maker in order to receive the beverage into the cup. The vending machine further includes a controller connected to the beverage maker, the receiving station and the conveying mechanism, and operable for coordinating movement of receiving the cup, transferring the cup and dispensing the beverage into the cup.

A system is discussed herein that is configured for extracting data from documents. In particular, the system may be utilized for automating and computerized checking of transit and shipping related documents. For example, the documents may include various data, such delivery dates, prices, inventory identification, personnel identification, container identification, customs documents, transport documents, a combination thereof, and the like.

Examples of a computing device for text recognition is provided. The computing device comprises a processor coupled to a storage medium that stores instructions, which upon execution by the processor, cause the processor to receive a data file comprising an image, identify at least one contour in the image, partition the at least one contour into a plurality of segments, and identify a text character in each segment of the plurality of segments.

A method for generating a plurality of sets of training image data for training a machine learning model includes: (a) acquiring object image data representing an object image; (b) dividing the object image into T number of partial object images by dividing a region of the object image into T number of partial regions corresponding to respective ones of T number of partial color ranges; (c) generating a plurality of sets of color-modified object image data representing respective ones of a plurality of color-modified object images by performing an adjustment process on the object image data, the adjustment process including a color modification process to modify colors of at least one of the T number of partial object images; and (d) generating the plurality of sets of training image data using one or more sets of background image data and the plurality of sets of color-modified object image data.

Embodiments of the present disclosure provide for an apparatus for a device for writing with character stroke sensing. In one instance, the device may include a body, a component for writing disposed substantially lengthwise inside the body, and one or more sensors disposed inside the body, substantially around with the component for writing, to sense deviations of the component for writing from a default position inside the body, in response to a contact of the component for writing with a writing medium. The sensed deviations are used to generate data indicative of character strokes the component for writing imparts on the writing medium. Other embodiments may be described and/or claimed.

A touch input device for a vehicle is disclosed. The touch input device is installed next to the driver seat, and configured to receive the driver's touch input. In response to a series of gestures on the touch input device, a computing system of the vehicle analyzes the series of gestures and identifies at least one character corresponding to the gestures. The computing system identifies a group of input gestures, identifies at least one character corresponding to the group of input gestures, and prompts the identified character on a display for the driver's correction.