8267results about "Payment architecture" patented technology

An example operation may include one or more of generating a unique image based on execution of an image generating model and displaying the unique image via a user interface of a software application, assigning a segment of the unique image to a goal at a first point in time based on user inputs via a user interface of the software application, monitoring account activity of a user within the software application, determining, at a second point in time, that the user is closer to the goal based on the monitored account activity of the user within the software application, and in response to the determination, increasing a size of the segment of the unique image assigned to the goal of the user.

Systems and methods for decentralized data management across interoperable distributed platforms are disclosed. A computing system receives input data associated with a unique decentralized identifier (DID) representing an entity or event. The computing system segments the input data into encrypted data segments, each cryptographically linked to the DID, and distributes these encrypted segments across decentralized storage nodes according to a redundancy scheme. A cryptographic lineage record, including segment identifiers, timestamps, and hashes linked to the DID, is stored in a decentralized ledger. In response to authenticated access requests, the computing system reconstructs the input data by retrieving, decrypting, and cryptographically verifying the distributed data segments against the lineage record. Authorized entities access the reconstructed data through interfaces enforcing cryptographically secured access permissions defined within the decentralized ledger, providing enhanced security, provenance verification, and data resilience.

A computer implemented method, system and non-transitory computer-readable device for a remote deposit environment activating, on a client device, a financial application, wherein the financial application is configured to instantiate a customer interface (UI) on the client device. Upon receiving a customer request, based on interactions with the UI, the method implements an electronic deposit of a financial instrument by activating a camera on the client device to generate a live stream of image data of a field of view of at least one camera, wherein the live stream includes imagery of at least a portion of the financial instrument. The method continues by extracting, based on the live stream of image data and by an optical character recognition program resident on the client device, one or more data fields from the financial instrument and communicating the extracted one or more data fields to a remote deposit server to complete the electronic deposit.

A computer implemented method, system and non-transitory computer-readable device for a remote deposit environment. Upon receiving a user request, based on interactions with the UI, the method implements an electronic deposit of a financial instrument by activating a camera on the client device to generate a live stream of image data of a field of view of at least one camera, wherein the live stream includes imagery of at least a portion of the financial instrument. The method continues by extracting in real-time, based on the formation of byte array objects from the live stream of image data, data fields from a ranked sequence of imagery to be processed by an optical character recognition (OCR) program resident on the client device. The OCR process extracts one or more data fields from of the financial instrument that are communicated to a remote deposit server to complete the electronic deposit.

An AI-powered content generation system that creates consistent, coherent, and engaging multi-modal content by integrating multiple specialized AI components. The system analyzes user input, identifies key elements, and maintains continuity throughout the generation process. It incorporates a feedback loop to learn and adapt based on user preferences, enabling personalized content experiences. The modular architecture allows for seamless integration of AI components focusing on text, images, audio, and interactive elements. The system ensures consistency across modalities and over extended periods, while managing rights, licenses, and royalties using blockchain technology. This advanced platform revolutionizes content creation, consumption, and management in the digital age.

A system and method for facilitating collection of Road User Charges (RUC) using a digital currency within a Distributed Ledger Technology (DLT) network are disclosed. The system generates secure digital wallets for Road Users and Facility Owners, receives trip, position, distance, and cost data from vehicles, sensors, and facility systems, and encodes settlement logic into smart contracts. These contracts automatically execute jurisdiction-specific disbursements across blockchain, directed acyclic graph (DAG), or hashgraph frameworks, ensuring scalability and auditability without reliance on centralized tolling infrastructure. An AI Activity Module processes multi-source telemetry—including vehicle sensors, GNSS / PNT data, roadside infrastructure, and third-party traffic feeds—to detect congestion, forecast conditions, optimize routing, and dynamically adjust segment-level RUC pricing in real time. The integration of AI-driven adaptive pricing with distributed ledger settlement provides a decentralized, infrastructure-agnostic framework for secure, transparent, and verifiable road use fee collection across multiple jurisdictions, distinct from conventional tolling systems.

Various systems and methods are described for obtaining compensation for tasks performed by a humanoid robot, where the humanoid robot is associated with a first party. The method includes a first party providing a humanoid robot for use in an operating location. The humanoid robot engaged in performing a plurality of tasks at the operating location. A third party compensates the first party with a specified amount of currency for a pre-determined time interval during which said humanoid robot has engaged in performing the plurality of tasks at the operating location.

Consumer operated kiosks for recycling electronic devices are disclosed herein. In some embodiments, the kiosk includes a rotatable inspection plate configured to receive an electronic device when the inspection plate is in a first position. The kiosk can include a camera having a field of view including at least a portion of the inspection plate. The kiosk can include a wired and / or wireless connectivity device configured to connect to the electronic device and one or more processors configured to: receive characteristic information about the electronic device via the wired and / or wireless connectivity device; cause the inspection plate to rotate to a second position; receive one or more images of the electronic device via the camera when the inspection plate is in the second position; and facilitate determination of an offer price for the electronic device based at least in part on the characteristic information and the one or more images.

An information technology system for a distributed manufacturing network includes an additive manufacturing management platform configured to manage process and production workflows for a set of distributed manufacturing network entities through design, modeling, printing, and supply chain stages. The information technology system includes an artificial intelligence system configured to learn on a training set of outcomes, parameters, and data collected from the set of distributed manufacturing network entities of the distributed manufacturing network to optimize digital production processes and workflows. The information technology system includes a distributed ledger system integrated with a digital thread configured to provide unified views of workflow and transaction information to entities in the distributed manufacturing network.

Methods, apparatus, and systems for generating a price of a target device. An evaluator device obtains technical properties associated with the target device. The technical properties include a make and a model of the target device. Physical properties associated with the target device are obtained. The physical properties include information related to wear and tear of the target device. Obtaining the physical properties includes indicating to a user that the user should position the target device in multiple predetermined positions and that the evaluator device records an image of the target device in each of the multiple predetermined positions. A video of the target device is recorded while the target device is positioned in the multiple predetermined positions. The obtained physical properties are evaluated to generate a condition metric value of the target device. Based on the generated condition metric value, the price of the target device is determined.

An apparatus, computer-readable medium, and computer-implemented method for creating and managing a distributed ledger non-fungible token data structures that represent the liquidity function for any two distinct representations of assets. The representations may be different assets or a single asset type with different characteristics including ledger, network, jurisdiction, availability, etc. The liquidity function is the mechanism to transform or exchange the asset including the pricing function, fees, and delivery mechanism. The investment performance of the liquidity token can be proportional to the demand for liquidity for the pair of assets.

The present disclosure provides a method and system to perform switching and handover between one or more intelligent conversational agents. The system receives a first set of data in real-time. The system collects a second set of data in real-time. The system fetches one or more queries from a plurality of users for a mega bot. The system analyses the first set of data, the second set of data and the one or more queries using one or more machine learning algorithms. The system selects a suitable intelligent conversational agent from the one or more intelligent conversational agents having a trust score above a threshold level. The system switches between the one or more intelligent conversational agents in the mega bot interacting with the plurality of users based on a plurality of aspects of corresponding query of the one or more queries and a plurality of factors.

An optical biomodule for detecting a disease specific biomarker(s) at an early stage, utilizing enhanced fluorescence emission (due to integration of three-dimensional (3-D) structures in a fluidic container) upon chemical binding / coupling of a disease specific biomarker(s) with its corresponding disease specific biomarker binder(s)-coupled with a fluorophore(s) positioned horizontally within a geometrical area (that includes a center region or a middle region) is disclosed. Furthermore, a corresponding disease specific biomarker binder(s) may include an amplifying chemical structure / sequence. The three-dimensional (3-D) structure(s) may be coupled with an optical resonator and / or a photonic crystal (PC) and / or a metamaterial and / or a metamaterial of Epsilon-Near-Zero (ENZ) of a suitable wavelength range.

A consumer-operated kiosk can include an inspection area configured to receive a first device from a user. The kiosk can include an imaging device configured to image the first device when the first device is positioned within the inspection area. In some embodiments, the kiosk includes a vending apparatus configured to store a plurality of second electronic devices for purchase. The kiosk can include one or more release mechanisms configured to directly release any one of the second electronic devices from the vending apparatus. The kiosk includes one or more processors operably connected to the inspection area, the imaging device, the vending apparatus, and the one or more release mechanisms. The one or more processors can be configured to cause the imaging device to capture one or more images of the first electronic device, facilitate purchase of the first electronic device based at least in part on the one or more captured images of the first electronic device, receive a request to vend a selected phone from among the phones in the vending apparatus, and / or cause the one or more release mechanisms to release the selected phone directly from the vending apparatus into a vending bay of the kiosk.

A robot fleet management platform includes a job configuration system that determines tasks to be performed by robots of a robot fleet based on a job request and a first fleet objective. A proxy service applies fleet configuration services to the tasks to produce a data structure. An intelligence layer activates intelligence services to produce a robot task and associated contextual information that facilitates robot selection and task ordering. A job workflow system generates a workflow defining a performance order of the tasks. A workflow simulation system simulates performance of the job request based on the workflow to recursively redefine the tasks, the data structure, or the workflow until the simulation result satisfies a second fleet objective. In response to the simulation result satisfying the set of fleet objectives, a plan generator generates a job execution plan based on the set of robot tasks, the data structure, and the workflow.

The invention discloses a digital product online leasing system based on a cloud native micro-service architecture and a construction method thereof, and the method specifically comprises the steps: firstly, carrying out containerized deployment and micro-service hierarchical design, including a plurality of business modules of user service, product management, leasing order, payment settlement, credit evaluation and recommendation, and enabling each module to operate in an independent service form; efficient cooperation is realized through service registration and discovery; a cloud native platform is utilized to realize elastic expansion and automatic operation and maintenance of the system, lease life cycle management is realized through an event-driven mechanism, links of ordering, payment, delivery, lease renewal, return and maintenance are covered, and a credit determination and risk control mechanism is introduced to support multiple lease modes such as detention-free lease and the like. The digital product leasing platform supports multi-terminal access and unified entrance management, has good system expansibility and leasing service flexibility, improves the concurrent processing capability, deployment efficiency and user experience of the digital product leasing platform, and has wide commercial application prospects.

The invention provides an intelligent parking lot charge management and parking space resource intelligent allocation optimization method, and relates to the technical field of intelligent parking lots, and the method comprises the steps: obtaining the real-time occupation state data of parking spaces in a parking lot, carrying out the time window division and sequence similarity analysis through time sequence data mining, and calculating the real-time parking space pressure value of each region; when the pressure value of the first region exceeds a threshold value, selecting a second region for integration based on a prediction result and a region stability integration degree, and forming a dynamic management region; and calculating a real-time rate by adopting deep reinforcement learning, determining a core influence area according to the parking request, and distributing a target parking space based on neighborhood density characteristics. According to the invention, the utilization rate of parking lot resources is improved, and intelligent parking space allocation and dynamic pricing are realized.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

A dynamic vision system includes a variable focus liquid lens optical assembly. The dynamic vision system includes a variable lighting assembly. The dynamic vision system includes a control system configured to adjust one or more optical parameters and data collected from the variable focus liquid lens optical assembly in real time. The dynamic vision system includes a control system configured to adjust the variable lighting assembly. The dynamic vision system includes a processing system that dynamically learns on a training set of outcomes, parameters, and data collected from the variable focus liquid lens optical assembly to train a set of machine learning models to control the variable focus liquid lens optical assembly to optimize collection of data for processing by the set of machine learning models.

Provided herein are systems and methods that improve the performance and accuracy of artificial intelligence (AI) systems and enhance real-world uses thereof. For example, provided herein are incentivization systems and methods for expert curation systems that prevent or reduce the frequency of AI hallucinations; allow for rapid identification of errors, misinformation, and out of date information; enable faster and easier corrections; and provide accurate and actionable results.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

An electronic hardware wallet for conducting cryptocurrency transactions, blockchain transactions, or other secure communications is embodied on a monolithic integrated circuit (IC) die supported on a single substrate. The monolithic semiconductor device can include a non-volatile data store for storing application software executable by the multi-core processor, and the secure element can include a secure data store for storing secret data (e.g., a private key) for use in a secure electronic transaction. In some embodiments, the secure element can include hardware logic embodying a cryptocurrency algorithm associated with executing the secure electronic transaction and can have a limited and selective communication bus between the secure element and the multi-core processor. The electronic hardware wallet can communicatively couple with one or more other devices to facilitate a multi-party computation (MPC) algorithm for authenticating the cryptocurrency algorithm and validating the secure electronic transaction.

The present application provides an electric power artificial intelligence model system and a working method. The electric power artificial intelligence model system comprises an algorithm model database, a user data management module, an intelligent recommendation module, an intelligent transaction module and a feedback and optimization module. The intelligent transaction module is configured to perform automatic charging on the basis of an algorithm model selected by a user and according to a use condition of the user, determine a final settlement cost on the basis of the identification effect of the algorithm model and a scoring result fed back by the user, and automatically generate a transaction order.

The technical solution aims to verify digital identity and more particularly to verify digital identity by online proofing.A method for detecting anomalies in identity verification performed by a processor comprises the following steps (FIG. 1, FIG. 2): receiving an identity verification request comprising image data (10), wherein the image data contains a person's face; generating an image data descriptor (11) using a model (20) configured to determine a set of visual features not associated with the person's face in the input image data (10); searching for image data descriptors similar to said generated image data descriptor (11) among image data descriptors belonging to other identity verification requests; in response to finding at least one similar image data descriptor, marking said identity verification request as anomalous, otherwise marking the request as not anomalous.

Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

Systems, methods, and non-transitory computer-readable media containing instructions are disclosed for detecting and utilizing facial skin micro-motion. In some non-limiting embodiments, detection of facial skin micro-motion occurs using a speech detection system that may include a wearable housing, a light source (coherent light source or incoherent light source), a light detector, and at least one processor. The one or more processors may be configured to analyze light reflections received from the facial region to determine facial skin micromotion, and extract meanings from the determined facial skin micromotion. Examples of meanings that may be extracted from the determined facial skin micromotion may include words spoken by the individual (silent or voiced), an identity of the individual, an emotional state of the individual, a heart rate of the individual, a respiratory rate of the individual, or any other biometric, emotion or speech related indicator.

Systems and methods for determining and executing complex multi-route transfers of digital assets are described. A multi-route transfer of a source asset for a destination asset may be determined by analyzing a graph representing a plurality of assets and exchanges to determine a plurality of unique transfer paths. A transfer path may reflect a direct transfer in which the source asset is swapped for the destination asset, or it may reflect a series of intermediate transfers in which the source asset is swapped for intermediate asset(s) that are swapped for the destination asset. Dynamic programming can be used to select the transfer paths to include in the multi-route transfer, how to distribute swaps across those transfer paths, and how to distribute swaps for each transfer of a transfer path-thereby optimizing for the total amount of the destination asset received while accounting for transaction fees.

A networked computer system for enabling players of a gaming device to collect a series of Non-Fungible Tokens (NFTs). Computational power of the networked computer system is also leveraged to support the recordation of NFT transactions, including the acquisition of NFT transactions and the transfer of NFTs.

A method and corresponding computing apparatus allow development of computer-implemented applications. The method includes providing a directed graph including vertices, and directed edges connecting respective pairs of the vertices. The directed graph represents the workflow, the vertices are associated with respective predefined tasks in the workflow and the directed edges represent transitions or dataflow between the predefined tasks. Further, the method includes modifying the predefined tasks based on received parameters to customize implementations of the predefined tasks and retrieving application programming interfaces (APIs) that implement the predefined tasks. Further, by integrating the APIs using a workflow orchestration engine (WOE), executable instructions are provided to perform the workflow represented by the directed graph. An authentication mechanism that allows defining custom authentication flows for different vertices of the workflow or different components of the apparatus. The WOE coordinates rendering a user interface to receive input data, publishing and consuming the granular events.

Systems, methods, and computer-readable storage media to model objects. One method includes receiving, from an application of a user device, a content dataset of an object and capture event parameters of a capture event of the object, generating a three-dimensional (3D) object file based on the content dataset, wherein the 3D object file is a digital twin of the object, corresponding with one or more characteristics of the object, storing the 3D object file and the capture event parameters in a data repository, generating a token including a metadata object based on broadcasting the 3D object file, the content dataset, and the capture event parameters to a distributed ledger, wherein the metadata objects embeds, into the token, the metadata of the object, a pointer to the capture event parameters, and a pointer to the 3D object file, and storing the token at a digital wallet address of a wallet storage.