Systems and methods for generating notifications based on extracted data from documents using a machine learning algorithm. The method includes receiving a document uploaded by a user including data corresponding to the user. The method further includes receiving an indication from the user granting permission to extract the data from the document. The method also includes extracting the data from the document using optical character recognition. The method further includes determining a document type based on the extracted data and document format data using a machine learning algorithm. The method also includes verifying the extracted data based on the determined document type and user data. The method also includes identifying a triggering event corresponding to the document based on the extracted data and the user data. The method further includes generating a notification corresponding to the triggering event.

Detection of textual phrases in a non-horizontal orientation at a scene is a target problem. This disclosure relates to a processor implemented method to detect a text from multimedia content captured at a scene. An input original image is processed by a trained model to obtain individual character with bounding box on the original image. The original image is positioned by a gradient to obtain a rotated image if number of detected characters is not equal to number of expected characters on the original image. At least one missing character bounding box on the original image and on the rotated image are estimated to construct a horizontal text image if number of detected characters is not equal to number of expected characters on the rotated image. At least one missing character in the estimated bounding box is detected by at least one text returned from an optical character reader.

A passwordless computer system for automated identity, document, and transaction management, enabling onboarding, compliance workflow, and client lifecycle management includes a biometrics system of supervised and/or unsupervised intelligence. The system may support various biometrics types, preferably utilizing facial biometrics comparison for compliance onboarding. Images compared may be an image/recording of an identification card, credentials being physical and/or digital; gender, age, ethnicity, anti-spoofing, liveness component being present. An authentication system utilizing authentication server(s) that may upon request send a nonce to another system, devices, applications, etc. Utilizing biometrics for validating and unlocking private keys to sign a nonce, and communicating with the authentication server(s) for private and public key validation, and an access token(s).

A method for reading sensory augmentation comprising displaying a text on a reading device, determining a reader's current location in the text with a gaze tracking system, identifying a subsequent location in the text, processing the text at the subsequent location with an emotion processing unit to predict an emotional response to the text at the subsequent location, generating a sensory augmentation routine based on the predicted emotional response, and initiating playback of the sensory augmentation routine at the subsequent location in the text. The sensory augmentation routine can include a musical composition, a sound, and/or an ambient lighting effect. The gaze tracking system can be configured to receive data from the reading device related to the text currently displayed thereon and to receive data from an image capture device related to eye movement tracking of the reader.

A system recognizes text in an input image. The system provides the input image to one or more optical character recognition (OCR) models to obtain predicted texts. The system determines a set of candidate text predictions by performing text recognition on each transformed image of the set of transformed images. The system generates a regular expression based on the predicted characters of the candidate text predictions and confidence score corresponding to each predicted character. The system matches the regular expression against text values in a database. The system selects one or more text values from the database based on the matching and returns the one or more text values as results of recognition of text of the input image.

Systems and methods for generating notifications based on extracted data from documents using a machine learning algorithm. The method includes receiving a document uploaded by a user including data corresponding to the user. The method further includes receiving an indication from the user granting permission to extract the data from the document. The method also includes extracting the data from the document using optical character recognition. The method further includes determining a document type based on the extracted data and document format data using a machine learning algorithm. The method also includes verifying the extracted data based on the determined document type and user data. The method also includes identifying a triggering event corresponding to the document based on the extracted data and the user data. The method further includes generating a notification corresponding to the triggering event.

A method of building a model for estimating a level of psychological safety includes acquiring, by a computer, post data communicated between members in a team, identifying fixed type post data that does not contribute to evaluation of the psychological safety among the acquired post data, and creating the model based on content of the acquired post data from which the fixed type post data has been removed.

A machine continuous learning method with a neural network object classifying function is applied to a monitoring camera apparatus having a processor with an object classifier. The machine continuous learning method includes utilizing the processor to receive an image, utilizing the object classifier to analyze the image for generating a first parameter and a second parameter, utilizing the processor to determine whether the first parameter belongs to at least one cluster established by human feedback, and utilizing the processor to output a label of the at least one cluster or the second parameter generated by the object classifier according to a determination result.

Provided is an information processing apparatus capable of improving detection accuracy of a position pointed by a target object. An acquisition unit acquires a distance image indicating a distance to each object present within a predetermined range. Subsequently, a vector calculation unit calculates a vector extending from the target object present within the predetermined range in a direction pointed by the target object on the basis of the acquired distance image. Subsequently, an intersection calculation unit calculates a position of an intersection of a predetermined surface present within the predetermined range and the calculated vector on the basis of the acquired distance image. Subsequently, a processing execution unit executes processing corresponding to the calculated position of the intersection.

A system and a method are disclosed for automatic content upload and process. The system retrieves a set of files from a source location based on instructions received from a client device of a user. The system then classifies the set of files into a plurality of categories corresponding to a sequence of one or more services configured to process or store files. The system then generates a data structure storing key values, where the key values are derived based on respective processing of subsets of files. Responsive to receiving an input to execute logic relating to the set of files, the system determines that the input is associated with one or more of the key values, retrieves the one or more of the key values, and executing the logic using the one or more retrieved key values.