Power management circuitry in peripheral accessories of audio devices

    公开(公告)号:US11804711B2

    公开(公告)日:2023-10-31

    申请号:US17567947

    申请日:2022-01-04

    Applicant: Stripe, Inc.

    CPC classification number: H02J1/102 G07F7/0873 H02J7/0068

    Abstract: A power management circuitry for a peripheral electronic device includes a power regeneration circuitry, a power selector, a power switch and an audio signal detection circuitry. The power regeneration circuitry receives a continuous periodic sound wave from an audio device and converts the continuous periodic sound wave into an amplified DC electrical signal. The power source selector receives the amplified DC electrical signal and input from a primary power source and provides a power signal output. The audio signal detection circuitry receives the amplified DC electrical signal and transmits a wake-up signal to the power switch circuitry. The power switch circuitry is turned on by the wake-up signal and connects the power source selector to the peripheral electronic device main circuitry and transfers the power signal output to the peripheral electronic device main circuitry.

    SYSTEMS AND METHODS FOR ACCESSING DISTRIBUTED SERVICE SYSTEMS TO SURFACE INSIGHTS FOR A USER

    公开(公告)号:US20230325846A1

    公开(公告)日:2023-10-12

    申请号:US17714907

    申请日:2022-04-06

    Applicant: Stripe, Inc.

    Inventor: Abishek Ravi

    CPC classification number: G06Q30/018 G06F9/451

    Abstract: A method and apparatus for leveraging a distributed services system for surfacing insights for a user are described. The method may include accessing, by a computer processing system, service system data generated for a user by services of a distributed service system, the service system data including one or more values associated with one or more corresponding common entities in a data store of disambiguated service system data. The method may also include inputting the one or more values associated with the one or more corresponding common entities generated for the user into a trained machine learning model (MLM), the machine learning model trained to detect an effect of the one or more values associated with the one or more corresponding common entities on a set of metrics of interest. Furthermore, the method may include detecting, by the MLM, when there is an anomaly in a metric of interest in the set of metrics of interest.

    Systems, methods, and apparatuses for implementing user customizable policies for revenue recognition

    公开(公告)号:US11776066B2

    公开(公告)日:2023-10-03

    申请号:US17479757

    申请日:2021-09-20

    Applicant: STRIPE, INC.

    CPC classification number: G06Q40/12 G06Q10/063

    Abstract: Systems, methods and apparatuses for implementing user customizable policies for revenue recognition are described. In some embodiments, a method comprises: tracking, by a network commerce system, a plurality of transactions; determining one or more revenue recognition rules of a plurality of revenue recognition rules that applies to each transaction of the plurality of transactions based on results of matching performed between conditions of each of the plurality of revenue recognition rules and one or more characteristics of said each transaction, the conditions of each rule including an effective time period during which individual transactions are subject to the rule; and automatically performing revenue recognition for each transaction according to one of the one or more revenue recognition rules determined to apply to said each transaction using based on results of matching conditions of one revenue recognition rule and the one or more characteristics of said each transaction.

    SYSTEMS AND METHODS FOR IDENTITY GRAPH BASED FRAUD DETECTION

    公开(公告)号:US20230298031A1

    公开(公告)日:2023-09-21

    申请号:US18202516

    申请日:2023-05-26

    Applicant: STRIPE, INC.

    Abstract: A method and apparatus for fraud detection during transactions using identity graphs are described. A method includes receiving, at a commerce platform system, a transaction from a user having initial transaction attributes and transaction data. The method also includes determining, by the commerce platform system, an identity associated with the user associated with additional transaction attributes not received with the transaction. Furthermore, the method includes accessing a feature set associated with the initial transaction attributes and the additional transaction attributes that includes machine learning (ML) model features for detecting transaction fraud. The method also includes performing, by the commerce platform system, a machine learning model analysis using the feature set and the transaction data to determine a likelihood that the transaction is fraudulent, and performing, by the commerce platforms system, the transaction when the likelihood that the transaction is fraudulent does not satisfy a transaction fraud threshold.

    FAULT-TOLERANT NO CODE WORKFLOWS
    110.
    发明公开

    公开(公告)号:US20230289209A1

    公开(公告)日:2023-09-14

    申请号:US17694090

    申请日:2022-03-14

    Applicant: STRIPE, INC.

    CPC classification number: G06F9/48 G06F3/0486

    Abstract: A method and system for defining and executing a workflow are described. the method comprises presenting, on a first section of a user interface (UI), a plurality of UI components associated with a plurality of tasks to be performed, where each UI component is associated with one task. The method further comprises, in response to one or more UI components of the plurality of UI components associated with one or more tasks of the plurality of tasks being moved from the first section of the UI to a second section of the UI, dynamically creating the workflow based on the one or more UI components and an order in which the one or more UI components being positioned in the second section of the UI, and executing the workflow to perform the one or more tasks of the plurality of tasks.

Patent Agency Ranking