One or more embodiments of systems and methods for a digital content management system for creating a digital document from handwritten content are described herein. For example, the digital content management system receives a digital image of handwritten content and analyzes the digital image to identify handwritten content as well as to identify specific command indicators. In response to identifying a command indicator associated with a command to create a digital document, the digital content management system creates a new digital document and adds digital content portions to the digital document that correspond to the identified content portions identified within the handwritten content depicted within the digital image.

A system and method for collecting medical image data items. A central processor identifies a new medical image data file on a remote image storage memory. The central processor determines that the new medical image data file is a completed file and copies the completed file to a central storage memory. The central processor determines an expected set of files corresponding to the medical image data file that defines a medical image data item. The central processor determines that each of the medical image data files in the expected set have been copied to the central storage memory. The central processor then generates an indicator that the medical image date item is available on the central storage memory.

Blockchain validation is provided by receiving a first validation request of a blockchain. A hashing algorithm is applied to a first block of the blockchain to generate a first hash value. In response to the first validation request of the blockchain, a first image from a plurality of images is provided on a display device. The first image is selected to be provided for display on the display device based on the first hash value. The first image may be compared to a second image that was provided for display on the display device prior to the first validation request and that image was provided based on a second hash value to determine whether the first image and the second image are substantially similar, which indicates that no changes have been made to the data in the blockchain.

Blockchain validation is provided by receiving a first validation request of a blockchain. A hashing algorithm is applied to a first block of the blockchain to generate a first hash value. In response to the first validation request of the blockchain, a first image from a plurality of images is provided on a display device. The first image is selected to be provided for display on the display device based on the first hash value. The first image may be compared to a second image that was provided for display on the display device prior to the first validation request and that image was provided based on a second hash value to determine whether the first image and the second image are substantially similar, which indicates that no changes have been made to the data in the blockchain.

A control method analysis unit acquires a correspondence relation between signs and model numbers from an apparatus table of an instrumentation diagram, and acquires signs and apparatus symbols, and connection relation among apparatuses, from a drawing of the instrumentation diagram. Subsequently, the control method analysis unit acquires an apparatus classification drawn on the diagram by searching an instrumentation apparatus classification database based on the model numbers, and decides a temperature control method employed by an instrumentation indicated in the instrumentation diagram, from the apparatus classification and the connection relation. The control method analysis unit then links the decided temperature control method to the instrumentation diagram accumulated in a case database. A search processing unit extracts a corresponding instrumentation diagram by searching the case database based on a temperature control method designated as a search condition.

Technologies and techniques for supporting an autonomous vehicle wherein objects in surroundings of the vehicle are captured by a sensor system, and wherein objects are identified and recognized by object recognition from captured data relating to the surroundings. When an unknown object is present in the surroundings, the unknown object if found in at least one database, typical properties of the unknown object are determined on the basis of the search result, a recommended course of action is derived for the autonomous vehicle on the basis of the typical properties of the unknown object, and the derived recommended course of action are provided to the vehicle.

An information processing system including a server apparatus and an output apparatus is disclosed. For each output condition, a copy painting data are generated and stored based on imaging data, in which an original painting is imaged, and an output condition of the copy painting data, to represent the original painting. Management information indicating an output state is stored for each set of the copy painting data. The copy painting data, for which an output request is received, are output to the output apparatus, upon determining based on the management information that an output of the copy painting data is permitted in a case of receiving the output request of the copy painting data.

An information processing system including a server apparatus and an output apparatus is disclosed. For each output condition, a copy painting data are generated and stored based on imaging data, in which an original painting is imaged, and an output condition of the copy painting data, to represent the original painting. Management information indicating an output state is stored for each set of the copy painting data. The copy painting data, for which an output request is received, are output to the output apparatus, upon determining based on the management information that an output of the copy painting data is permitted in a case of receiving the output request of the copy painting data.

A system for automated conversion and delivery of medical images. In an example implementation, a server is configured to retrieve a medical image file including medical data and metadata, in a medical data format, determine an output destination type based on the metadata, identify standardized format specifications based on the determined output destination type from the retrieved metadata, convert the medical data into a format compatible with the identified standardized format, and transmit an output message of the converted medical data to at least a recipient delivery address.

A system for automated conversion and delivery of medical images. In an example implementation, a server is configured to retrieve a medical image file including medical data and metadata, in a medical data format, determine an output destination type based on the metadata, identify standardized format specifications based on the determined output destination type from the retrieved metadata, convert the medical data into a format compatible with the identified standardized format, and transmit an output message of the converted medical data to at least a recipient delivery address.