Data-secure sensor system
    3.
    发明授权

    公开(公告)号:US11423750B2

    公开(公告)日:2022-08-23

    申请号:US16930218

    申请日:2020-07-15

    Applicant: Apple Inc.

    Abstract: In some embodiments, a data-secure sensor system includes one or more processors configured to receive sensor data (e.g., image data, audio data, etc.) and generate descriptive data based on the sensor data that corresponds to a physical area that corresponds to information about identified objects or activity in physical area, an input/output (I/O) port, and an I/O choke communicatively coupled between the one or more processors and the I/O port, the I/O choke configured to limit a communication bandwidth of the I/O port to a maximum data rate. The one or more processors can be configured to prevent the sensor data from being accessible via any external port of the data-secure camera system, including the I/O port, and allow the descriptive data to be accessible via the I/O port.

    LOW POWER MODE FOR PAYMENT TRANSACTIONS
    6.
    发明申请

    公开(公告)号:US20190266593A1

    公开(公告)日:2019-08-29

    申请号:US16228004

    申请日:2018-12-20

    Applicant: Apple Inc.

    Abstract: This application relates to systems, methods, and apparatus for using a computing device to perform payment transactions while the computing device is operating in a low power wallet mode during a low battery state of the computing device. During a low power wallet mode, various subsystems are prevented from receiving current from a battery of the computing device, while a near field communication (NFC) system of the computing device is provided with an operating current for detecting target systems. A target system and the NFC system can communicate during the low power wallet mode of the computing device, thereby allowing a user of the computing device to conduct payment transactions when the computing device is in a low power wallet mode. Such payment transactions can be useful if the user is ever stranded without enough power to fully operate the computing device and needs to pay for transportation.

    LOW POWER MODE FOR PAYMENT TRANSACTIONS
    9.
    发明申请
    LOW POWER MODE FOR PAYMENT TRANSACTIONS 审中-公开
    用于支付交易的低功耗模式

    公开(公告)号:US20150046324A1

    公开(公告)日:2015-02-12

    申请号:US14500927

    申请日:2014-09-29

    Applicant: Apple Inc.

    Abstract: This application relates to systems, methods, and apparatus for using a computing device to perform payment transactions while the computing device is operating in a low power wallet mode during a low battery state of the computing device. During a low power wallet mode, various subsystems are prevented from receiving current from a battery of the computing device, while a near field communication (NFC) system of the computing device is provided with an operating current for detecting target systems. A target system and the NFC system can communicate during the low power wallet mode of the computing device, thereby allowing a user of the computing device to conduct payment transactions when the computing device is in a low power wallet mode. Such payment transactions can be useful if the user is ever stranded without enough power to fully operate the computing device and needs to pay for transportation.

    Abstract translation: 本申请涉及在计算设备的低电量状态期间计算设备在低功率钱包模式下操作时使用计算设备执行支付交易的系统,方法和设备。 在低功率钱包模式期间,防止各种子系统从计算设备的电池接收电流,同时为计算设备的近场通信(NFC)系统提供用于检测目标系统的操作电流。 目标系统和NFC系统可以在计算设备的低功率钱包模式下进行通信,从而当计算设备处于低功率钱包模式时允许计算设备的用户进行支付交易。 如果用户在没有足够的能力完全操作计算设备并且需要支付运输费用的情况下,这种支付交易将是有用的。

    Object detection-based notification

    公开(公告)号:US12282084B2

    公开(公告)日:2025-04-22

    申请号:US17483743

    申请日:2021-09-23

    Applicant: Apple Inc.

    Abstract: Implementations of the subject technology provide object detection and/or classification for electronic devices. Object detection and/or classification can be performed using a radar sensor of an electronic device. The electronic device may be a portable electronic device. In some examples, object classification using a radar sensor can be based on an identification of user motion using radar signals and/or based on extraction of surface features from the radar signals. In some examples, object classification using a radar sensor can be based on time-varying surface features extracted from the radar signals. Surface features that can be extracted from the radar signals include a radar cross-section (RCS), a micro-doppler signal, a range, and/or one or more angles associated with one or more surfaces of the object.

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