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.

A device may receive image data representing a document, the document including: text, and edges. Based on the edges, the device may identify, a segment of interest within the image data and crop the segment of interest to obtain a portion of the image data. In addition, the device may perform optical character recognition on the portion of the image data, the optical character recognition producing recognized text. The device may obtain, based on the recognized text, validation data that includes verification text, and determine whether the recognized text is verified based on the verification text. Based on a result of the determination, the device may perform an action.

The invention belongs to the field of cloud technology and cloud processing, it discloses an XBRL-based intelligent financial cloud platform system, provides rich accounting services for users in an efficient and convenient manner. The platform system comprises a tenant document, a document tool, an accounting tool and an administration center deployed on a server; the tenant document implements the functions such as order creation, order status query and historical order viewing; the document tool provides such cloud services as image preprocessing, element correction and total element correction; the accounting tool provides such cloud services as rule checking, simulated accounting and accounting reviewing; the administration center is used to provide private cloud management and operation services for financial cloud in an automated, intelligent and standardized manner, consisting of a grain center, a definition center, a construction center, a business center, a user center and an operation center. Furthermore, the invention also provides a construction method and a business implementation method corresponding to the cloud platform system, it is suitable for providing efficient and convenient accounting cloud services.

A device may receive image data representing a document, the document including: text, and edges. Based on the edges, the device may identify, a segment of interest within the image data and crop the segment of interest to obtain a portion of the image data. In addition, the device may perform optical character recognition on the portion of the image data, the optical character recognition producing recognized text. The device may obtain, based on the recognized text, validation data that includes verification text, and determine whether the recognized text is verified based on the verification text. Based on a result of the determination, the device may perform an action.

A system for generating digital flowcharts is provided. The system receives sketch image data comprising a plurality of shapes and text, and processes the sketch image data to generate flowchart data by applying a first model configured to generate shape data, applying a second model configured to generate text data, and generating linking data that associates shape data and text data. The system may generate and display a visualization of the flowchart data. The system may map the flowchart data to a region of a presentation slide and display a visualization of the flowchart data on the presentation slide.

Disclosed is a method of facilitating and capturing legal operation of vehicles is provided. The method may include receiving, using a communication device, at least one parking/stopping/standing update from at least one mobile device. Further, the parking/stopping/standing update may be associated with a location. Furthermore, the method may include analyzing, using a processing device, at least one parking/stopping/standing update. Additionally, the method may include generating, using the processing device, operation data associated with the location based on the request. Further, the method will provide a process loop to improve identification and/or capturing of relevant variables to be used while facilitating legal operation of vehicles.

A device may receive image data representing a document, the document including: text, and edges. Based on the edges, the device may identify, a segment of interest within the image data and crop the segment of interest to obtain a portion of the image data. In addition, the device may perform optical character recognition on the portion of the image data, the optical character recognition producing recognized text. The device may obtain, based on the recognized text, validation data that includes verification text, and determine whether the recognized text is verified based on the verification text. Based on a result of the determination, the device may perform an action.

Described herein is a computer implemented method. The method includes receiving, via an input device, first user input drawing an input shape and generating, based on the first user input, original drawing data that includes an ordered set of points that define the input shape. The original drawing is processed to generate an input vector which also includes an ordered set of points. The input shape is then classified as a first template shape by processing the input vector using a machine learning model. A new shape is then generated based on the first template shape and the original drawing data.

A method for reading a digital graphical diagram representing an electric circuit is provided. The graphical diagram includes one or more diagram pages, each representing a portion of the electric circuit. The method includes for each diagram page detecting the graphical objects included in the diagram page, for each diagram page basing on the detected graphical objects, obtaining predictive information related to the components included in the portion of electric circuit represented in the diagram page, and for each diagram page harmonizing the predictive information related to the components of the portion of electric circuit represented in the diagram page to obtain an identification list of the components of the electric circuit.

A device may receive image data representing a document, the document including: text, and edges. Based on the edges, the device may identify, a segment of interest within the image data and crop the segment of interest to obtain a portion of the image data. In addition, the device may perform optical character recognition on the portion of the image data, the optical character recognition producing recognized text. The device may obtain, based on the recognized text, validation data that includes verification text, and determine whether the recognized text is verified based on the verification text. Based on a result of the determination, the device may perform an action.