Amadeus Patente

A method for performing biometric identity validation to confirm identity of a user. The method comprises providing a mobile application configured to be executed on a device of the user, to: register an enrolment data in respect of the user, for enrolling the user for biometric identity validation; when the user device is in proximity of one or more biometric touchpoint devices, enable pairing between the user device and the one or more biometric touchpoint devices to establish, with each of the one or more biometric touchpoint devices, a respective data connection between the user device and the biometric touchpoint devices, the one or more biometric touchpoint devices each comprising a biometric camera. In response to the user presenting at any one of the one or more biometric touchpoint devices to be processed thereby, and the biometric touchpoint device capturing a live image data of the user, the captured live image data is processed to obtain a live biometric data, and a data transfer is enabled to transfer at least the live biometric data or a reference biometric data obtained from the enrolment data, between the biometric touchpoint device that captured the live image data and the device of the user via the established data connection. The identity of the user is confirmed based on a result of a match between the live biometric data and the reference biometric data.

A method and system for deploying a natural language (NL) virtual interaction profile in a dynamic transaction management environment are disclosed. The system includes an Al engine configured to generate virtual electronic profiles based on training datasets of NL dialogue sequences between client devices and agent terminals. The virtual profiles simulate interaction behaviors, enabling iterative dialogues with agent terminals in response to dynamically changing transaction variables. By setting a target number of iteration cycles, the method aims to align interactions with predefined efficiency thresholds, reducing redundant access to transaction management engines and optimizing computational resource allocation. The disclosed system enhances processing efficiency within complex multi-component networks by streamlining interactions and minimizing unnecessary communication cycles.

A method for operating a touchpoint, the method comprising a biometric authentication system: receiving authentication biometric data; associating the authentication biometric data with a person; obtaining a pre-computed risk score associated with the person; determining whether the risk score exceeds an authentication risk threshold; operating the touchpoint to perform biometric authentication using the authentication biometric data in the event that the pre-computed risk score does not exceed the authentication risk threshold; and operating the touchpoint with an enhanced authentication routine in the event that the pre-computed risk score exceeds the authentication risk threshold.

A hierarchical blockchain system is provided. The hierarchical blockchain system comprises: a plurality of blockchains and associated databases having a hierarchical relationship, wherein the plurality of blockchains, amongst hierarchical levels of the hierarchical relationship, are associated via one or more respective identifier types; and one or more computing devices configured to: populate the plurality of blockchains and the associated databases; and validate the plurality of blockchains. The plurality of blockchains are associated with different sets of validation mechanisms. Respective blockchains that are higher in the hierarchical relationship are associated with stricter validation mechanisms and further respective blockchains that are lower in the hierarchical relationship are associated with lighter validation mechanisms. The lighter validation mechanisms are more fault tolerant than the stricter validation mechanisms.

A method of interacting with web sites is provided. The method comprises receiving an input defining a job to be performed and determining one or more tasks on one or more web sites required to perform the job. For each of the one or more tasks, the method further comprises identifying, by a supervisor agent, one or more atomic processes required to perform the task on a web site. And for each of the one or more atomic processes, the method further comprises instructing, by the supervisor agent, a worker agent to perform the atomic process, and determining, by the worker agent, a function call relating to the atomic process for interacting with the web site. The supervisor agent and the worker agent are based on multimodal generative artificial intelligence models. A corresponding assistance system and computer program are provided, too.

A computing system (126) registers peripheral devices (110-1) in communication with a first computing unit (106-1) via local communication links (110-1). Registering peripheral devices (110-1) virtualizes peripheral devices (110-1) at the computer system (126) thereby making peripheral devices (110-1) available for use by computing units (106) in communication with the computer system (126), and wherein registering peripheral devices (110-1) occurs via a peripheral device virtualization application (112-1) installed at the first computing unit (106-1) in communication with the computer system (126). The computing system (126) receives from a second computing unit (106-2), a request for a list (120) of peripheral devices (110-1), and provides back the list (120) of peripheral devices (110-1). The computing system (126) receives, from the second computing unit (106-2), a selection of a peripheral device (110-1), of the peripheral devices (110-1), and enables use of the peripheral device (110-1) at the first computing unit (106-1), by the second computing unit (106-2), via the peripheral device virtualization application (112-1) at the first computing unit (106-1).

A computerized method, system and computer program of controlling an update strategy of a cache are provided. A plurality of cache updating models applied on data entries of a test cache is analysed, wherein outdating probabilities of data entries of the test cache correspond to outdating probabilities of data entries of the cache. Analysing the plurality of cache updating models thereby comprises determining a value of an evaluation metric for a cache updating model of the plurality of cache updating models, wherein the evaluation metric is based on a target accuracy configurable by a user. Moreover, a cache updating model is selected based on the value of the evaluation metric of the cache updating model and the cache updating model is then applied on the cache.

Aliveness detection method for determining whether a presented face in respect of a user is a real face, comprising: obtaining an image sequence comprising a plurality of images. Each image comprises left eye image data and right eye image data. Each image in the image sequence being acquired of the presented face under a respective flash setting from a flash setting sequence, the flash settings in the flash setting sequence including at least two different flash setting values. The method further comprises processing the image sequence to detect speckles in the right eye image data and the left eye image data from the image sequence, which are caused by the eyes reflecting a flash applied under a flash setting when acquiring least one image in the sequence, the flash setting for the at least one image being brighter than the flash setting for a preceding and/or a succeeding image. The processing comprises applying a filter to enhance speckle image data corresponding to the speckles in the image sequence relative to non-speckle image data in the image sequence, and/or to suppress the non-speckle image data relative to the speckle image data. If one left eye speckle and one right eye speckle are detected respectively from the left eye image data and the right eye image data in the image sequence, determining whether the detected left and right eye speckles match each other. The method comprises outputting a liveness detection result based at least partially on the determination.

A method, system, and computer program for cache-based response provision is presented. Responses to requests are stored in a cache, wherein each response is associated with one or more generated embeddings that were generated by at least two different embedding models to at least one input and/or applying the same embedding model on at least two different inputs. When a current request is received, a similarity of one or more current embeddings generated for the current request with the one or more generated embeddings of each cached response is determined. In response to determining that the similarity of the one or more current embeddings with the one or more generated embeddings of at least one response is above a threshold, the response associated with generated embeddings with the highest similarity is returned, whereas otherwise a new response from an original data source and returning the new response.

The present specification provides a multiplatform virtual retail store engine. The specification can have application to client devices with augmented or virtual reality hardware that interact with different platforms with metaverse capabilities. Rich experiences are provided on client hardware while making efficient use of available processing, memory and communication resources. Embodiments discuss the provision of a single retail store model which is dynamically adapted for generation across the plurality of different platforms according to the different metaverse capabilities. Embodiments also discuss include racking of the same user across different accounts on different metaverse platforms.

The present disclosure relates to method and apparatus for dynamic authentication control at a transit facility having a plurality of checkpoints. The method recites obtaining transit facility data pertaining to operations and schedules of the transit facility. The transit facility data is analyzed to determine a plurality of users expected at the checkpoint, and a number of enrolled and unenrolled users for being authenticated at a biometric authentication system are determined based on the transit facility data. Further, a set of unenrolled users expected to arrive at the authentication system for authentication are estimated using a ROC model. Further, using the ROC model, a false positive identification rate (FPIR) is predicted based on the number of enrolled users and a biometric authentication threshold value. Furthermore, one or more unenrolled users which are expected to be authenticated by the biometric authentication system are determined based on the set of unenrolled users and the FPIR. Lastly, the one or more unenrolled users expected to be authenticated are optimized by adjusting the threshold value to dynamically control the authentication at the transit facility.

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The present specification provides a system and method to generate passport-like images. The passport-like images can be generated from synthetic images, without use of personal identifiable information (PII). The passport-like images can be used for different applications such as to provide a machine learning dataset that can be used to control output devices based on a comparison of a real-time photograph of an individual with a passport photo of the individual.

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Systems and methods of enabling data access for a transaction between a data client and at least one data owner are described, wherein the data is stored at a data host. A method implemented at the data host includes storing data associated with the data owner in a data owner profile, the profile including a static identifier associated with the data owner and receiving from the data owner a request for a temporary identifier to enable access to the data by a data client. The temporary identifier is generated and transmitted to the data owner as well as being stored in the data owner profile. An access request for at least a portion of the stored data is received from the data client, the access request comprising the temporary identifier, an identifier of the data client, an indication of the scope of the request, and a duration associated with the request. It is first verified that access to the data can be enabled for the data client based on the information in the access request and a share key is transmitted to the data client for the requested data.

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A computerized method, system and computer program for automating data structure transformation from a source data structure to a target data structure are presented. The processes performed comprise providing, to a large language model, LLM, artificial intelligence tool, a transformation model alongside with a request to generate an updated transformation model, receiving, from the LLM artificial intelligence tool, information relating to the updated transformation model, updating the transformation model, applying the transformation model to a source data to obtain a target data item, testing the transformation model and target data item, acquiring transformation feedback information regarding the correctness of the target data item and/or the transformation model, repeating previous features until a stopping condition is reached, and using the transformation model for automatic transformation of data items from the source data structure to the target data structure.

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