DISPLACEMENT MEASUREMENT SYSTEMS AND METHODS WITH SIMULTANEOUS TRANSMISSION

    公开(公告)号:US20220303646A1

    公开(公告)日:2022-09-22

    申请号:US17619636

    申请日:2020-06-16

    Abstract: Systems and methods for identifying and/or measuring displacement of at least one sensor in system comprising at least two sensors, each sensor comprising a signal generator wherein the signal produced by the generator is used as a transmitted signal and as a local oscillator for down converting signals received from other sensors to produce an IF (intermediate frequency) signal; a data acquisition subsystem configured to generate data samples comprising phase information of the plurality of IF signals and record said data samples; at least one processor, said at least one processor is configured to: receive the recorded data samples from each sensor of said at least two sensors; jointly process the recorded data samples from each sensor of said at least two sensors to extract a phase value which depends on the distance between the at least two sensors; measure over time said phase value to yield a phase change value; identify displacement of at least one sensor of the at least two sensors based on the extracted phase change value.

    SYSTEM AND METHODS FOR ENVIRONMENT MAPPING

    公开(公告)号:US20210141082A1

    公开(公告)日:2021-05-13

    申请号:US17257012

    申请日:2019-07-02

    Abstract: Systems and methods thereof configured for mapping an environment, comprising: continuously scanning, via at least one transmit/receive module, the environments volume for detecting objects, the transmit/receive module is configured to transmit signals and receive their reflection; measuring the location of the objects' reflected signals and optionally their strength, via at least one acquisition module and at least one processor; and constructing a real-time updated three-dimensional (3D) voxels' map of the environment; and associating for each voxel a time record of events and optionally their respective event features; wherein each event comprises at least the voxel's detected presence of signal/s.

    SYSTEMS AND METHODS FOR SCANNING CONCEALED OBJECTS

    公开(公告)号:US20240371122A1

    公开(公告)日:2024-11-07

    申请号:US18762814

    申请日:2024-07-03

    Abstract: Systems and methods for scanning concealed surface and detecting concealed objects using a radar that transmits electromagnetic radiations towards a subject receives the reflected electromagnetic signals, a processing unit that receives raw complex image data from the radar unit and processes the data using a complex convolution neural network to detect concealed objects, a display unit that displays images representing the concealed object, a database that stores the processed data along with the raw complex image and the processed image data to train the processing unit to detect specific concealed objects, and a communicator that transmits notifications through a communication network.

    SYSTEM AND METHOD FOR GENERATING MITIGATED FALL ALERTS

    公开(公告)号:US20240085554A1

    公开(公告)日:2024-03-14

    申请号:US18387473

    申请日:2023-11-07

    CPC classification number: G01S13/90 G01S13/72

    Abstract: A system including a radar unit, a processor unit and a communication module, the radar unit including a transmitter antenna connected to an oscillator and transmitting electromagnetic waves into a monitored region, and a receiver antenna receiving electromagnetic waves reflected by objects within the monitored region and generating raw data, the communication module communicating alerts to third parties, the processor unit including a moving body isolation processor, a tracker module receiving and processing data from the radar unit to identify and track location of moving targets over time thereby generating target data, an alert-threshold generator generating an alert-threshold, a neural network receiving from the tracker module target data inputs selected from height profiles, signal-to-noise ratio and radial distance to object and generating a fall likelihood score, and a fall identification module receiving the fall likelihood score and detecting a fall event if the likelihood score is above an alert-threshold value.

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