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: There is provided a system of training a deep learning model for support of a device in a remote technical support system, the system comprising a processing circuitry configured to: receive a plurality of images of a device to be supported; provide a user interface of annotating each image of the plurality of images, the annotating being data indicative of one or more of: one or more image identification labels, and one or more image subcomponent label tuples; and utilize, at least, the plurality of annotated images, to train a deep learning model to classify and/or segment an image to data indicative of at least one of: one or more image identification labels, and one or more image subcomponent label tuples, thereby providing a platform enabling automated creation of a remote support service.

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: 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.