Target monitoring and alert system and method

Patent metadata

Field	Value
Publication number	US-12347298-B2
Application number	US-202218037127-A
Country	US
Kind code	B2
Filing date	Jun 1, 2022
Priority date	Dec 23, 2019
Publication date	Jul 1, 2025
Grant date	Jul 1, 2025

Abstract

Target monitoring and alert systems for identifying and tracking targets within radar data. Raw frame data is filtered to remove data relating to reflections from static objects. Moving targets are identified in the filtered data and their location is tracked over time generating target data. Neural networks may process the target data, calculate a fall likelihood score and generate a fall-alert if this is above an alert-threshold. A person identification module may extract the position and motion characteristics of each target from the data and generate a probabilistic identification of the target with a person.

First claim

The invention claimed is:

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.

2. The target monitoring and alert system of claim 1 wherein the alert-threshold generator is configured to receive communication from a fall alert mitigation manager.

3. The target monitoring and alert system of claim 2 wherein the alert mitigation manager is configured and operable to receive input from a telemetric system and to use a sensitivity map to generate the alert threshold value.

4. The target monitoring and alert system of claim 1 wherein the temporal filter is operable to select a frame capture rate, to collect raw data from a first frame; to wait for a time delay, to collect raw data from a second frame; and to subtract first frame data from the second frame data.

5. The target monitoring and alert system of claim 1 wherein the temporal filter comprises at least a moving target indication module.

6. The target monitoring and alert system of claim 5 wherein the moving target indication is operable to select a filter time constant, to apply an infinite impulse response filter over during the filter time constant, to apply a low pass filter, and to remove background from the raw data.

7. The target monitoring and alert system of claim 1 wherein the temporal filter comprises at least an adaptive moving target indication module.

8. The target monitoring and alert system of claim 7 wherein the 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, and to update the filter time constant accordingly.

9. The target monitoring and alert system of claim 1 wherein the temporal filter comprises at least an extended moving target indication module.

10. The target monitoring and alert system of claim 9 wherein the adaptive moving target indication module is operable to select a filter time constant, to apply an infinite impulse response filter during the filter time constant, to apply a low pass filter, to subtract a mean value of several previous frames from the current frame and to remove artifacts from the filtered image.

11. The target monitoring and alert system of claim 1 wherein the temporal filter comprises at least a low motion signal-to-noise ratio enhancement module.

12. The target monitoring and alert system of claim 11 wherein the low motion signal-to-noise ratio enhancement module is operable to apply a low signal-to-noise ratio temporal filter, to average energy values of the Moving Target Indication (MTI) images over several frames and to detect changes in the averaged data.

13. The target monitoring and alert system of claim 1 wherein the temporal filter comprises at least a motion filter bank.

14. The target monitoring and alert system of claim 1 wherein the processor unit further comprises a person identification module including a position characteristic extraction module and a motion characteristic extraction module.

15. The target monitoring and alert system of claim 14 wherein the processor unit is operable to generate a probabilistic identification of a target by applying a stored Artificial Intelligence (AI) algorithms on the position and motion characteristics of the target.

16. The target monitoring and alert system of claim 15 wherein the processor unit is further operable to generate an identification profile of the person.

Assignees

• Vayyar Imaging Ltd

Inventors

• Rosenhouse Tsachi
• Keren Alon
• Moshe Shay
• Dvash Amit
• Klemer Ido
• Orlovsky Michael
• Tur Ronen
• Barda Rotem

Classifications

• G08B21/182

  Level alarms, e.g. alarms responsive to variables exceeding a threshold · CPC title

• G01S7/415

  Identification of targets based on measurements of movement associated with the target · CPC title

• G01S13/723

  by using numerical data · CPC title

• G01S7/417

  involving the use of neural networks · CPC title

• G08B21/0469

  Presence detectors to detect unsafe condition, e.g. infrared sensor, microphone (G08B21/0476 takes precedence) · CPC title