A light compensating system in accordance with this invention comprises a plurality of light emitting devices, an image capturing device, and a processing device. The processing device is respectively coupled to the plurality of light emitting devices and the image capturing device. Each light emitting device is used for emitting light to illuminate a certain area in space. The image capturing device is used for capturing a first image, which can be defined as a plurality of image blocks. Each image block is affected by the light from at least one corresponding light emitting device. The processing device is used for analyzing a brightness value of at least one of the plurality image block and adjusting at least one light emitting device corresponding to the analyzed image block based on the brightness value.

A method, computer program, and computer system is provided for estimating three-dimensional hand poses in images. Data corresponding to two hand images is receive, and an optical flow value corresponding to a change in a hand gesture in the received hand image data is calculate. A heat map is generated based on the calculated optical flow, and a hand mesh map is estimated based on the generated heat map. A hand pose present within the hand images is determined based on the estimated hand mesh map.

An image processing apparatus includes a reading unit configured to read an image of a document and generate image data, a first binarization unit configured to generate binary image data by performing halftone processing on the image data generated by the reading unit, a smoothing unit configured to perform smoothing processing on a character region of the binary image data, a second binarization unit configured to perform binarization processing on the character region having been subjected to the smoothing processing by the smoothing unit, and a character recognition unit configured to perform character recognition processing on the character region having been subjected to the binarization processing by the second binarization unit.

A method for improved security at automated teller machines (ATMs) comprising: capturing, by a first camera at an ATM, one or more images of a bank card; reading card information from the bank card by processing the one or more images of the bank card, wherein the card information comprises an account number and an expiration date; receiving, from an input device at the ATM, a personal identification number (PIN) entered by a user; sending a request to a server device to verify the card information and the PIN; and in response receiving a response from the server device, allowing the user to transact with the ATM.

A data ingestion system normalizes ingested documents and extracts data based on a template that is applied to the documents. In an aspect, the system accesses a document of a document type and determines a template to apply to the document. The system normalizes the document, extracts data values from the document based at least in part on the template, and generates structured data based at least partly on the extracted data.

A method for improved security at automated teller machines (ATMs) comprising: capturing, by a first camera at an ATM, one or more images of a bank card; reading card information from the bank card by processing the one or more images of the bank card, wherein the card information comprises an account number and an expiration date; receiving, from an input device at the ATM, a personal identification number (PIN) entered by a user; sending a request to a server device to verify the card information and the PIN; and in response receiving a response from the server device, allowing the user to transact with the ATM.

Disclosed are systems and methods for improving interactions with and between computers in a content generating, hosting and/or providing system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic discovery of high quality digital content. According to embodiments, the present disclosure describes improved computer system and methods directed to analyzing raw image data, such as features and descriptors of images in order to identify a high quality image(s). Such images can be identified from a database of images, and such images can be identified in real-time, or near real-time during the capture of an image(s) by a camera.

A method for improved security at automated teller machines (ATMs) comprising: capturing, by a first camera at an ATM, one or more images of a bank card; reading card information from the bank card by processing the one or more images of the bank card, wherein the card information comprises an account number and an expiration date; receiving, from an input device at the ATM, a personal identification number (PIN) entered by a user; sending a request to a server device to verify the card information and the PIN; and in response receiving a response from the server device, allowing the user to transact with the ATM.

A secure item including a first optical structure and a second optical structure, or an assembly comprising a secure item and another object. The first optical structure including a plurality of blocks and being one of a revealing screen and a combined image. The second optical structure being the other one. Each of the combined image blocks being made up of a plurality of interlaced images. The combined image or each combined image block including a periodic alternation of interlaced image elements. The elements of the interlaced images of a single interlaced image being the same color, but a different color from that of the other interlaced images. At least two blocks of the first optical structure each allowing the observation of a revealed image in each block of a first optical structure, showing different proportions of the interlaced images.

Methods and apparatus for the application of machine learning to radiographic images of animals. In one embodiment, the method includes receiving a set of radiographic images captured of an animal, applying one or more transformations to the set of radiographic images to create a modified set, segmenting the modified set using one or more segmentation artificial intelligence engines to create a set of segmented radiographic images, feeding the set of segmented radiographic images to respective ones of a plurality of classification artificial intelligence engines, outputting results from the plurality of classification artificial intelligence engines for the set of segmented radiographic images to an output decision engine, and adding the set of segmented radiographic images and the output results from the plurality of classification artificial intelligence engines to a training set for one or more of the plurality of classification artificial intelligence engines. Computer-readable apparatus and computing systems are also disclosed.