Abstract: A non-transitory computer readable medium includes instructions that, when executed by at least one processor, cause the at least one processor to perform artificial-intelligence-based technical support operations.

Abstract: A system for performing remote artificial intelligence-assisted electronic warranty verification including at least one processor configured to transmit an instruction to capture at least one product image of a specific product, receive and perform product image analysis on the product image to identify at least one product-distinguishing characteristic, transmit an instruction to capture an image of a purchase receipt, receive and perform receipt image analysis on the purchase receipt image to identify product purchase information, access a universal data structure containing data on products offered by suppliers, use the at least one product-distinguishing characteristic and product purchase information to identify in the universal data structure the specific product, identify in the universal data structure a link to a warranty data structure of the supplier, access the link to lookup the specific product and receive a warranty coverage indication from the supplier data structure, and transmit an indicatio

Abstract: A system for performing remote artificial intelligence-assisted electronic warranty verification including at least one processor configured to transmit an instruction to capture at least one product image of a specific product, receive and perform product image analysis on the product image to identify at least one product-distinguishing characteristic, transmit an instruction to capture an image of a purchase receipt, receive and perform receipt image analysis on the purchase receipt image to identify product purchase information, access a universal data structure containing data on products offered by suppliers, use the at least one product-distinguishing characteristic and product purchase information to identify in the universal data structure the specific product, identify in the universal data structure a link to a warranty data structure of the supplier, access the link to lookup the specific product and receive a warranty coverage indication from the supplier data structure, and transmit an indicatio

Abstract: A non-transitory computer readable medium includes instructions that, when executed by at least one processor, cause the at least one processor to perform artificial-intelligence-based technical support operations.

Abstract: Techniques for conducting a support session and determine suitable instructions for resolving a certain technical mal-function in a device/equipment of a user. Imagery data associated the technical mal-function is received from a user's device and used for determining at least one improperly setup property associated with the mal-function in the mal-functioning device/equipment based on a comparison of the received imagery data with reference data. Instructions comprising augmented imagery for resolving the mal-function can be then generated, or fetched form a database, based on the determined at least one improperly setup property. A new database record can be generated comprising the augmented imagery data for use in future support sessions associated with the mal-function.

Abstract: Image processing systems and methods may include receiving image data captured by an image sensor of a mobile communications device, the image data including at least one image of an inoperative product in an environment of a user. The systems and methods may further include performing image recognition on the image data to determine an identity of the inoperative product and access at least one database to determine a cause of product inoperability based on the determined identity of the inoperative product. The systems and methods may also include establishing a self-service support session by retrieving a plurality of sequential instructions to remedy the inoperability of the product and causing visual guidance to be displayed by the mobile communications device, wherein the visual guidance is associated with the plurality of sequential instructions.

Abstract: Techniques for conducting a support session and determine suitable instructions for resolving a certain technical mal-function in a device/equipment of a user. Imagery data associated the technical mal-function is received from a user's device and used for determining at least one improperly setup property associated with the mal-function in the mal-functioning device/equipment based on a comparison of the received imagery data with reference data. Instructions comprising augmented imagery for resolving the mal-function can be then generated, or fetched form a database, based on the determined at least one improperly setup property. A new database record can be generated comprising the augmented imagery data for use in future support sessions associated with the mal-function.

Abstract: Techniques for conducting a support session and determine suitable instructions for resolving a certain technical mal-function in a device/equipment of a user. Imagery data associated the technical mal-function is received from a user's device and used for determining at least one improperly setup property associated with the mal-function in the mal-functioning device/equipment based on a comparison of the received imagery data with reference data. Instructions comprising augmented imagery for resolving the mal-function can be then generated, or fetched form a database, based on the determined at least one improperly setup property. A new database record can be generated comprising the augmented imagery data for use in future support sessions associated with the mal-function.

Abstract: An image processing system for visually augmenting a real-time video stream including at least one processor configured to receive the real-time video stream captured by an image sensor. The real-time video stream includes images of at least one cable and an electronic appliance. The processor is further configured to analyze the video stream to identify a plurality of ports in the electronic appliance; analyze the video stream to identify a cable for association with a specific port of the plurality of ports; cause a movable augmented indicator to display on the video stream, wherein the movable augmented indicator is configured to guide a user's connection of the specific cable to the specific port; monitor changing locations of the specific port as the image sensor moves relative to the electronic appliance; and adjust positions of the movable augmented indicator to account for the changing locations of the specific port.

Abstract: An image processing system including at least one processor configured to receive at least one first image of an inoperative product captured by a mobile device of a user; perform image analysis on the first image to identify a status of a functional element associated with the inoperative product; access memory to determine why the product is inoperative; cause visual guidance to be displayed by the mobile device, wherein the visual guidance is associated with a plurality of sequential actions for causing the inoperative product to become operative; receive at least one second image of the product, the second image being indicative of a completion of the plurality of sequential actions; perform image analysis on the at least one second image to determine that the completion of the plurality of sequential actions caused the inoperative product to become operative; and notify the user that the problem has been resolved.

Abstract: An image processing system including at least one processor configured to receive image data captured by a mobile device image sensor. The image data includes images of an inoperative appliance. The processor is further configured to perform image recognition on the image data to identify the inoperative appliance and determine a likely cause of inoperability; retrieve a plurality of sequential instructions for enabling a user to remedy the inoperability; cause the mobile device to sequentially display the plurality of sequential instructions; detect that the inoperative appliance is outside a field of view of the image sensor, based on the image data; suspend display of additional sequential instructions when the inoperative appliance is outside of the field of view; detect when the inoperative appliance returns to the field of view; and resume display of the additional sequential instructions after the inoperative appliance returns to the field of view.

Abstract: An image processing system for visually augmenting a real-time video stream including at least one processor configured to receive the real-time video stream captured by an image sensor. The real-time video stream includes images of at least one cable and an electronic appliance. The processor is further configured to analyze the video stream to identify a plurality of ports in the electronic appliance; analyze the video stream to identify a cable for association with a specific port of the plurality of ports; cause a movable augmented indicator to display on the video stream, wherein the movable augmented indicator is configured to guide a user's connection of the specific cable to the specific port; monitor changing locations of the specific port as the image sensor moves relative to the electronic appliance; and adjust positions of the movable augmented indicator to account for the changing locations of the specific port.

Abstract: An image processing system including at least one processor configured to receive real-time image data captured by an image sensor of a mobile device. The real-time image data includes at least one image of an inoperative product. The processor is further configured to perform image recognition on the real-time image data to identify a likely source product inoperability; cause the mobile device to display sequential instructions for mitigating the inoperability; determine that an error was made when a particular one of the instructions is not complied with; cause the mobile device to display an error notification when the particular instruction is not complied with and before a subsequent instruction is displayed; determine that the particular instruction was subsequently complied with based on real-time image data captured following the notification; and cause the mobile device to display the subsequent instruction after the particular instruction is determined to have been complied with.

Abstract: An image processing system including at least one processor configured to receive at least one first image of an inoperative product captured by a mobile device of a user; perform image analysis on the first image to identify a status of a functional element associated with the inoperative product; access memory to determine why the product is inoperative; cause visual guidance to be displayed by the mobile device, wherein the visual guidance is associated with a plurality of sequential actions for causing the inoperative product to become operative; receive at least one second image of the product, the second image being indicative of a completion of the plurality of sequential actions; perform image analysis on the at least one second image to determine that the completion of the plurality of sequential actions caused the inoperative product to become operative; and notify the user that the problem has been resolved.

Abstract: An image processing system including at least one processor configured to receive image data captured by a mobile device image sensor. The image data includes images of an inoperative appliance. The processor is further configured to perform image recognition on the image data to identify the inoperative appliance and determine a likely cause of inoperability; retrieve a plurality of sequential instructions for enabling a user to remedy the inoperability; cause the mobile device to sequentially display the plurality of sequential instructions; detect that the inoperative appliance is outside a field of view of the image sensor, based on the image data; suspend display of additional sequential instructions when the inoperative appliance is outside of the field of view; detect when the inoperative appliance returns to the field of view; and resume display of the additional sequential instructions after the inoperative appliance returns to the field of view.

Abstract: An image processing system including at least one processor configured to receive real-time image data captured by an image sensor of a mobile device. The real-time image data includes at least one image of an inoperative product. The processor is further configured to perform image recognition on the real-time image data to identify a likely source product inoperability; cause the mobile device to display sequential instructions for mitigating the inoperability; determine that an error was made when a particular one of the instructions is not complied with; cause the mobile device to display an error notification when the particular instruction is not complied with and before a subsequent instruction is displayed; determine that the particular instruction was subsequently complied with based on real-time image data captured following the notification; and cause the mobile device to display the subsequent instruction after the particular instruction is determined to have been complied with.

Abstract: Techniques for conducting a support session and determine suitable instructions for resolving a certain technical mal-function in a device/equipment of a user. Imagery data associated the technical mal-function is received from a user's device and used for determining at least one improperly setup property associated with the mal-function in the mal-functioning device/equipment based on a comparison of the received imagery data with reference data. Instructions comprising augmented imagery for resolving the mal-function can be then generated, or fetched form a database, based on the determined at least one improperly setup property. A new database record can be generated comprising the augmented imagery data for use in future support sessions associated with the mal-function.

Abstract: Techniques for conducting a support session and determine suitable instructions for resolving a certain technical mal-function in a device/equipment of a user. Imagery data associated the technical mal-function is received from a user's device and used for determining at least one improperly setup property associated with the mal-function in the mal-functioning device/equipment based on a comparison of the received imagery data with reference data. Instructions comprising augmented imagery for resolving the mal-function can be then generated, or fetched form a database, based on the determined at least one improperly setup property. A new database record can be generated comprising the augmented imagery data for use in future support sessions associated with the mal-function.

Abstract: Techniques for conducting a support session and determine suitable instructions for resolving a certain technical mal-function in a device/equipment of a user. Imagery data associated the technical mal-function is received from a user's device and used for determining at least one improperly setup property associated with the mal-function in the mal-functioning device/equipment based on a comparison of the received imagery data with reference data. Instructions comprising augmented imagery for resolving the mal-function can be then generated, or fetched form a database, based on the determined at least one improperly setup property. A new database record can be generated comprising the augmented imagery data for use in future support sessions associated with the mal-function.

Abstract: Techniques for conducting a support session and determine suitable instructions for resolving a certain technical mal-function in a device/equipment of a user. Imagery data associated the technical mal-function is received from a user's device and used for determining at least one improperly setup property associated with the mal-function in the mal-functioning device/equipment based on a comparison of the received imagery data with reference data. Instructions comprising augmented imagery for resolving the mal-function can be then generated, or fetched form a database, based on the determined at least one improperly setup property. A new database record can be generated comprising the augmented imagery data for use in future support sessions associated with the mal-function.