Methods and systems of handwriting recognition in virtualized-mail services
OwnerHasan Mirjaninventor
Life of this patent
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Abstract
In one aspect, a computerized method useful for dynamic location-based virtualized mail services includes the step of determining an identity of a user receiving a physical mail. The method includes the step of determining a location of the user. The method includes the step of determining a set of delivery locations within a specified distance of the user's current location. The method includes the step of communicating, via an electronic message, the delivery location to the user's mobile device.
Claims7
A computerized method useful for dynamic location-based virtualized mail services comprising:
- determining an identity of a user receiving a physical mail;
- determining a location of the user;
- determining a set of delivery locations within a specified distance of the user's current location;
- and
- communicating, via an electronic message, the delivery location to the user's mobile device,
- wherein the step of determining the identity of the user receiving a physical mail comprises:
- receiving a physical mail;
- taking a set of digital photographs of the physical mail envelope and a content of the physical mail, and
- wherein the step of determining the identity of the user receiving a physical mail comprises:
- implementing an OCR operation of the set of digital photographs to generate an OCR content of the physical mail;
- and
- determining a recipient, wherein the user is the recipient;
- wherein the step of determining the identity of the user receiving a physical mail comprises:
- automatically saving the OCR content of the physical mail and the recipient to a database, and
- wherein a user's mobile device include a mail-management application that uses a GPS-based location system to locate the user, and
- wherein the user's location is inferred based on at least one historical routine route of a user, and
- wherein a machine learning method is used to detect a junk mail;
- and
- using another specified machine learning method to optimize a processing of a plurality of user requests, wherein the plurality of user requests comprises:
- requesting a scan of the physical mail, requesting a shredding operation of the physical mail, and requesting a forwarding of a specified mail based on a sender,
- wherein the step of determining the set of delivery locations within the specified distance of the user's current location utilizes a location of a self-service package delivery service and enables the user to select a mailbox at the location as their delivery address and retrieve their orders at that location by entering a unique pick-up code on the touch screen to open the mailbox.
A computerized system useful for dynamic location-based virtualized mail services comprising:
- at least one processor configured to execute instructions;
- at least one memory comprising instructions that when executed on the at least one processor, causes the at least one processor to perform operations that:
- determine an identity of a user receiving a physical mail;
- determine a location of the user;
- determine a set of delivery locations within a specified distance of the user's current location;
- and
- communicate, via an electronic message, the delivery location to the user's mobile device, wherein the step of determining the identity of the user receiving a physical mail comprises:
- receiving a physical mail;
- taking a set of digital photographs of the physical mail envelope and a content of the physical mail, and
- wherein the step of determining the identity of the user receiving a physical mail comprises:
- implementing an OCR operation of the set of digital photographs to generate an OCR content of the physical mail;
- and
- determining a recipient, wherein the user is the recipient;
- wherein the step of determining the identity of the user receiving a physical mail comprises:
- automatically saving the OCR content of the physical mail and the recipient to a database, and
- wherein a user's mobile device include a mail-management application that uses a GPS-based location system to locate the user,
- wherein the user's location is inferred based on at least one historical routine route of a user, and
- wherein a machine learning method is used to detect a junk mail;
- and
- using another specified machine learning method to optimize a processing of a plurality of user requests, wherein the plurality of user requests comprises:
- requesting a scan of the physical mail, requesting a shredding operation of the physical mail, and requesting a forwarding of a specified mail based on a sender,
- wherein the step of determining the set of delivery locations within the specified distance of the user's current location utilizes a location of a self-service package delivery service and enables the user to select a mailbox at the location as their delivery address and retrieve their orders at that location by entering a unique pick-up code on the touch screen to open the mailbox.
Dependencies are inferred from the claim text.