Abstract: Artificial intelligence (AI) systems of the inventive subject matter are directed to receiving uploaded images containing one or more document, identifying the type of documents received, and returning information contained in those documents. Upon receiving an image containing a document, the AI system: checks for barcodes, OCRs any text, detects visual features, and detects an overall document shape. The AI system can then use any information gathered during those steps to ultimately verify information contained in the document.

Abstract: Embodiments of the inventive subject matter are directed to AI systems that are designed to identify whether identification cards or driver's licenses issued to states from the United States are compliant with either Real ID or Enhanced ID laws. When a driver's license or ID card is Real ID compliant, it includes a visual indicator in the form of a small start on the front of the card (e.g., a start located generally at the top right of the card). When a driver's license is Enhanced ID compliant, it will include a small image of an American flag somewhere on the front of the card. AI systems of the inventive subject matter are trained to identify these visual indicators to determine whether an ID is Real ID compliant or Enhanced ID compliant.

Abstract: Artificial intelligence (AI) systems of the inventive subject matter are directed to receiving uploaded images containing one or more document, identifying the type of documents received, and returning information contained in those documents. Upon receiving an image containing a document, the AI system: checks for barcodes, OCRs any text, detects visual features, and detects an overall document shape. The AI system can then use any information gathered during those steps to ultimately verify information contained in the document.

Abstract: Systems and methods of the inventive subject matter are directed to the use of large language models to improve data extraction, storage, and searching. Specifically, platforms implementing embodiments of the inventive subject matter are configured to receive uploaded documents. Once received, the contents of the document can be extracted, and key-value pairs can be generated using that content by applying a taxonomy. For any text content that cannot be index using the applied taxonomy, the platform can apply OCR and then use an LLM to generate additional key-value pairs. Once key-value pairs are created and saved to a database, plan language user-generated search queries can be received. An LLM can once again be used to create database search queries, resulting in the ability to search though uploaded documents for specific content along with types of content.

Abstract: Systems and methods of the inventive subject matter are directed to artificial intelligence systems that are configured to receive an uploaded file from a user, where that upload contains images of one or more documents. Documents can be, e.g., receipts, identification cards, and so on. Once received, the system converts the image to a tensor to facilitate identifying mask images. The AI system then converts any identified mask images to grayscale before converting the image to black and white. White spaces are identified, and contours are identified that surround the white spaces. Next, white spaces with areas below a threshold size are discarded and white spaces with areas above that threshold have their contours stored. The AI system finds a minimum bounding rectangle for each contour and then crops the image around each white space accordingly. In this way, documents can be found within an image file and segmented to later processing.

Abstract: Systems, apparatuses and methods for associating flexible Internet based information with physical objects is described. An example system includes a database server configured to generate a tag responsive to receiving a request from a requesting device. The tag is encoded with a uniform resource locator. The database server is further configured to associate a tag type of a plurality of tag types with the tag. The tag type indicates an intended use of the tag. The system further includes a memory configured to store data corresponding to the tag. The data may include the uniform resource locator and the tag type.

Abstract: Systems, apparatuses and methods for associating flexible Internet based information with physical objects is described. An example system includes a database server configured to generate a tag responsive to receiving a request from a requesting device. The tag is encoded with a uniform resource locator. The database server is further configured to associate a tag type of a plurality of tag types with the tag. The tag type indicates an intended use of the tag. The system further includes a memory configured to store data corresponding to the tag. The data may include the uniform resource locator and the tag type.

Abstract: Systems, apparatuses and methods for associating flexible Internet based information with physical objects is described. An example system includes a database server configured to generate a tag responsive to receiving a request from a requesting device. The tag is encoded with a uniform resource locator. The database server is further configured to associate a tag type of a plurality of tag types with the tag. The tag type indicates an intended use of the tag. The system further includes a memory configured to store data corresponding to the tag. The data may include the uniform resource locator and the tag type.

Abstract: Systems, apparatuses and methods for associating flexible Internet based information with physical objects is described. An example system includes a database server configured to generate a tag responsive to receiving a request from a requesting device. The tag is encoded with a uniform resource locator. The database server is further configured to associate a tag type of a plurality of tag types with the tag. The tag type indicates an intended use of the tag. The system further includes a memory configured to store data corresponding to the tag. The data may include the uniform resource locator and the tag type.

Abstract: Systems, apparatuses and methods for associating flexible Internet based information with physical objects is described. An example system includes a database server configured to generate a tag responsive to receiving a request from a requesting device. The tag is encoded with a uniform resource locator. The database server is further configured to associate a tag type of a plurality of tag types with the tag. The tag type indicates an intended use of the tag. The system further includes a memory configured to store data corresponding to the tag. The data may include the uniform resource locator and the tag type.

Abstract: A group of security functions may be configured and managed by organizing the security functions and their features into a ranked list and made available through an administrative console. The ranked list may represent various levels of security from which a user may select. Once selected, the security functions may be configured according to the selected level. The console may determine a current security level by analyzing the configuration or status of each of the security functions and presenting a single status level from the ranked list determined by the least secure setting of the various security functions.

Abstract: A backup system stores configuration data for several interdependent systems in a single backup store. As the systems are being configured and when changes are made to the systems, the backup store is updated with the change. The systems may be configured with each system having a designated role. During a restore operation, an otherwise unallocated system may assume a particular role and use the configuration logic defined for the role that may be taken from the backup store. The system may perform the restore in conjunction with the other systems and the interdependencies with the systems.