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    C1001 60GHz mmWave Indoor Fall Detection Sensor for Arduino / ESP32 / Micro:bit (11 Meters)

    • The C1001 mmWave Human Detection Sensor can accurately detect falls by implementing human posture recognition through point cloud imaging algorithms. It also offers precise life detection, accurately reporting on fall status, duration of stay, and stationary body status.
    • Fall detection feature: the C1001 mmWave Human Detection Sensor can accurately detect falls by implementing human posture recognition through point cloud imaging algorithms. It also offers precise life detection, accurately reporting on fall status, duration of stay, and stationary body status.
    • Sleep detection feature: the C1001 mmWave Human Detection Sensor can perceive human biological presence and movement, continuously recording human presence. Based on changes in body movement and breathing heart rate during sleep, it can make real-time judgments on the target's sleep status and breathing heart rate. After a period of sleep, it outputs a sleep score, which can be incorporated into health monitoring applications based on the output of related sleep parameters.
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    The C1001 mmWave Human Detection Sensor can accurately detect falls by implementing human posture recognition through point cloud imaging algorithms. It also offers precise life detection, accurately reporting on fall status, duration of stay, and stationary body status..
    Fall detection feature: the C1001 mmWave Human Detection Sensor can accurately detect falls by implementing human posture recognition through point cloud imaging algorithms. It also offers precise life detection, accurately reporting on fall status, duration of stay, and stationary body status..
    Sleep detection feature: the C1001 mmWave Human Detection Sensor can perceive human biological presence and movement, continuously recording human presence. Based on changes in body movement and breathing heart rate during sleep, it can make real-time judgments on the target's sleep status and breathing heart rate. After a period of sleep, it outputs a sleep score, which can be incorporated into health monitoring applications based on the output of related sleep parameters.

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