US 12,347,298 B2
Target monitoring and alert system and method
Tsachi Rosenhouse, Kiryat Ono (IL); Alon Keren, Tel Aviv (IL); Shay Moshe, Petach-Tikva (IL); Amit Dvash, Kadima-Zoran (IL); Ido Klemer, Givatayim (IL); Michael Orlovsky, Hod Ha-Sharon (IL); Ronen Tur, Binyamina (IL); and Rotem Barda, Tel Aviv (IL)
Appl. No. 18/037,127
Filed by VAYYAR IMAGING LTD., Yehud (IL)
PCT Filed Jun. 1, 2022, PCT No. PCT/IB2022/055109
§ 371(c)(1), (2) Date May 16, 2023,
PCT Pub. No. WO2022/254347, PCT Pub. Date Dec. 8, 2022.
Application 18/037,127 is a continuation in part of application No. 17/632,522, granted, now 11,660,023, previously published as PCT/IB2020/062383, filed on Dec. 23, 2020.
Claims priority of provisional application 63/195,189, filed on Jun. 1, 2021.
Claims priority of provisional application 63/196,240, filed on Jun. 3, 2021.
Claims priority of provisional application 63/210,601, filed on Jun. 15, 2021.
Claims priority of provisional application 63/211,828, filed on Jun. 17, 2021.
Claims priority of provisional application 63/024,520, filed on May 14, 2020.
Claims priority of provisional application 62/954,507, filed on Dec. 29, 2019.
Claims priority of provisional application 62/954,506, filed on Dec. 29, 2019.
Claims priority of provisional application 62/954,505, filed on Dec. 29, 2019.
Claims priority of provisional application 62/954,502, filed on Dec. 29, 2019.
Claims priority of provisional application 62/952,540, filed on Dec. 23, 2019.
Claims priority of provisional application 62/952,536, filed on Dec. 23, 2019.
Claims priority of provisional application 62/952,525, filed on Dec. 23, 2019.
Claims priority of provisional application 62/952,519, filed on Dec. 23, 2019.
Prior Publication US 2024/0021062 A1, Jan. 18, 2024
Int. Cl. G08B 21/04 (2006.01); G01S 7/41 (2006.01); G01S 13/72 (2006.01); G08B 21/18 (2006.01)
CPC G08B 21/043 (2013.01) [G01S 7/415 (2013.01); G01S 7/417 (2013.01); G01S 13/723 (2013.01); G08B 21/0469 (2013.01); G08B 21/182 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A target monitoring and alert system comprising a radar unit, a processor unit and a communication module, the radar unit including
at least one transmitter antenna connected to an oscillator and configured to transmit electromagnetic waves into a monitored region, and
at least one receiver antenna configured to receive electromagnetic waves reflected by objects within the monitored region and operable to generate raw data;
the processor unit including a moving body isolation processor, and the communication module configured and operable to communicate alerts to third parties;
wherein:
the processor unit further comprises:
a frame buffer memory unit for storing frame data;
a data filter configured to receive said raw data, and operable to process the raw data to remove data relating to reflections from static objects thereby generating filtered data;
a tracker module configured to receive the filtered data from the data filter and operable to process the filtered data to identify moving targets and to track the location of the moving targets over time thereby generating target data;
an alert-threshold generator operable to generate an alert-threshold;
a neural network configured to receive from the tracker module target data inputs selected from height profiles, signal-to-noise ratio and radial distance to object and operable to generate a fall likelihood score; and
a fall identification module configured to receive the fall likelihood score from the neural network and operable to generate a fall alert if the likelihood score is above an alert-threshold value,
wherein the data filter comprises a temporal filter unit through which received data may be passed to produce filtered output,
wherein the temporal filter comprises at least a local adaptive moving target indication module, and
wherein the local adaptive moving target indication module is operable to select an initial filter time constant, to apply an infinite impulse response filter with the initial filter time constant, to apply a low pass filter, to subtract the result from the next frame, to detect changes in image data, to spatially segment the frame into subsets of voxels according to the local rate of change of image data, to set a local filter time constant for each subset of voxels as suits the local rate of change of image data, to apply the infinite impulse response filter to each subset of voxels over an associated local filter time constant, and to subtract local background from each subset of voxels in a next frame of image data.