Method and system for monitoring animals

    公开(公告)号:US11490598B2

    公开(公告)日:2022-11-08

    申请号:US16543182

    申请日:2019-08-16

    申请人: INVOXIA

    摘要: A method for monitoring an animal with an autonomous monitoring device in close proximity to the animal, the monitoring device having a first sensor and a second sensor of higher electric power consumption. The method includes measuring a first parameter with the first sensor, the second sensor being deactivated. An estimated status of the animal is determined based on the first parameter. If the estimated status corresponds to a particular status, the second sensor is activated and measures a second parameter which is used to determine a specified estimated status of the animal.

    Method and device for estimating acoustic reverberation

    公开(公告)号:US10313809B2

    公开(公告)日:2019-06-04

    申请号:US15778146

    申请日:2016-11-21

    申请人: INVOXIA

    IPC分类号: H04R29/00 H04S7/00 G10L25/21

    摘要: A method for estimating the acoustic reverberations in an environment comprising the following steps: a measurement step in which one acoustic signal emitted in the environment is captured; a step for determination of acoustic energy decay rate distribution during which an acoustic energy decay rate distribution is determined from the acoustic signal captured in step (a); an estimation step during which a reverberation time and a reverberation level of sound in the environment are estimated by regression from the characteristic function of the acoustic energy decay rate distribution determined in step (b).

    DOG COLLAR
    4.
    发明公开
    DOG COLLAR 审中-公开

    公开(公告)号:US20230210091A1

    公开(公告)日:2023-07-06

    申请号:US18091656

    申请日:2022-12-30

    申请人: INVOXIA

    IPC分类号: A01K27/00 A01K29/00

    摘要: An intelligent dog collar for monitoring physiological parameters of a dog, comprising:



    a movement sensor unit comprising an accelerometer and/or a gyrometer, wherein the movement sensor unit is configured to detect raw movement signals of the dog collar,
    a storage module storing a trained neural network, the neural network being configured to determine a physiologic information into raw movement signals detected by the movement sensor unit,
    a processing unit connected to the movement sensor unit and configured to operate the trained neural network,
    a memory configured to store the identified physiologic information,
    an interface for transmitting to a communication device the identified physiologic information.

    Method and System for Detecting Filling Parameters of a Point-of-Sale Display

    公开(公告)号:US20210406862A1

    公开(公告)日:2021-12-30

    申请号:US17358917

    申请日:2021-06-25

    申请人: INVOXIA

    IPC分类号: G06Q20/20 G01F15/06

    摘要: A method for detecting filling parameters of a point-of-sale display, the point-of-sale display being intended to receive predetermined products, said method comprises: emitting a wave in the point-of-sale display; sensing an echo wave generated by reflection and/or backscattering of the emitted wave in the point-of-sale display; transmitting a signal representative of said echo wave to a calculating unit comprising at least one predictive model configured to determine how much the point-of-sale display is filled with products and/or configured to determine a probability that products placed in the point-of-sale display correspond to said predetermined products, the method further comprising: calculating an inference of the at least one predictive model to determine filling parameters of the point-of-sale display.

    Method and Device for Estimating Acoustic Reverberation

    公开(公告)号:US20180359582A1

    公开(公告)日:2018-12-13

    申请号:US15778146

    申请日:2016-11-21

    申请人: INVOXIA

    IPC分类号: H04R29/00 G10L25/21

    摘要: A method for estimating the acoustic reverberations in an environment comprising the following steps: a measurement step in which one acoustic signal emitted in the environment is captured; a step for determination of acoustic energy decay rate distribution during which an acoustic energy decay rate distribution is determined from the acoustic signal captured in step (a); an estimation step during which a reverberation time and a reverberation level of sound in the environment are estimated by regression from the characteristic function of the acoustic energy decay rate distribution determined in step (b).