Electronic Device with Dynamic Sensor Polling

    公开(公告)号:US20250080167A1

    公开(公告)日:2025-03-06

    申请号:US18773851

    申请日:2024-07-16

    Applicant: Apple Inc.

    Abstract: An electronic device may include a sensor that performs object detection. The sensor may generate sensor data using a polling period. The device may include a neural network that receives the sensor data. The neural network may generate a likelihood score associated with detection of the object based on the sensor data. Control circuitry may adjust the polling period based on the likelihood score to balance power consumption with detection latency. As one example, the sensor may include near-field communications (NFC) circuitry coupled to a coil. The coil may transmit pulses of radio-frequency signals using the polling period. The coil may receive a waveform. The neural network may generate the likelihood score based on the waveform. The likelihood score may be used to detect an NFC device. The neural network may enable detection of subtle features in the waveform with minimal false detections.

    Electronic Device with Dynamic Sensor Polling

    公开(公告)号:US20250080168A1

    公开(公告)日:2025-03-06

    申请号:US18773883

    申请日:2024-07-16

    Applicant: Apple Inc.

    Abstract: An electronic device may include a sensor that performs object detection. The sensor may generate sensor data using a polling period. The device may include a neural network that receives the sensor data. The neural network may generate a likelihood score associated with detection of the object based on the sensor data. Control circuitry may adjust the polling period based on the likelihood score to balance power consumption with detection latency. As one example, the sensor may include near-field communications (NFC) circuitry coupled to a coil. The coil may transmit pulses of radio-frequency signals using the polling period. The coil may receive a waveform. The neural network may generate the likelihood score based on the waveform. The likelihood score may be used to detect an NFC device. The neural network may enable detection of subtle features in the waveform with minimal false detections.

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