IP Library › Granted Patent US 11,074,459
Granted Patent B2
US 11,074,459 · App. 16/732,499 · Granted Jul 27, 2021

Patient video monitoring systems and methods for thermal detection of liquids

Inventors: Steven Gail Johnson (Highland Village, TX); Derek del Carpio (Corinth, TX); Kenneth W. Chapman (Lewisville, TX)
Assignee: CareView Communications, Inc.
G06K9/00771A61B5/0002A61B5/145A61M5/1689A61M5/16886H04N5/247H04N5/33H04N5/332A61B5/02042A61B5/1128A61B5/6889A61B2560/0242A61M5/14G06K2209/057
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Quick Facts
Patent No.
US 11,074,459
App. No.
16/732,499
Granted
Jul 27, 2021
Kind
B2
Abstract

A system for monitoring a patient in a patient area having one or more detection zones, the system comprising one or more cameras, a user interface, and a computing system configured to receive a chronological series of frames from the one or more cameras, identify liquid candidates by comparing a current frame with a plurality of previous frames of the chronological series, determine locations of the liquid candidates, identify thermal signatures of the liquid candidates, determine types of liquids of the liquid candidates based on the locations and thermal signatures of the liquid candidates, and generate an alert with the user interface corresponding to the determined types of liquids.

Claims (30)

1. A system for monitoring a patient in a patient area having one or more detection zones, the system comprising:

one or more cameras; and

a computing system configured to:

receive a chronological series of frames including a plurality of thermal images from the one or more cameras;

identify liquid candidates by comparing temperature characteristics of a current frame with a plurality of previous frames of the chronological series using edge detection, the comparison based on given pixels of the chronological series of frames including thermal or spectral properties different from thermal or spectral properties of background pixels of the chronological series of frames;

identify thermal signatures of the liquid candidates;

determine types of liquids of the liquid candidates based on the thermal signatures of the liquid candidates; and

generate an alert with the user interface corresponding to the determined types of liquids.

2. The system of claim 1 wherein the computing system is configured to define one or more monitoring zones within a patient area based on input from a user.

3. The system of claim 1 wherein the computing system is configured to detect motion of the liquid candidates by identifying changes in temperature of a given zone between the current frame and the plurality of previous frames.

4. The system of claim 3 wherein the motion includes at least one of liquid spills, leaks, expulsion, pooling, accumulation, and dripping.

5. The system of claim 3 wherein the computing system is configured to detect the motion based on a temperature change corresponding to an appearance of liquids.

6. The system of claim 1 wherein the thermal signatures include an amount of heat, heat range, heat within a given area, heat or spectral uniformity and heat or spectral stability.

7. The system of claim 1 wherein the computing system is configured to identify the liquid candidates based on a comparison to room temperature.

8. The system of claim 1 wherein the computing system is configured to identify the liquid candidates based on a flow or movement corresponding to pixels of a warm object.

9. The system of claim 1 , wherein the computing system is configured to determine that the liquid candidates are bodily fluids.

10. A method, in a data processing system comprising a processor and a memory, for monitoring a patient in a patient area having one or more detection zones, the method comprising:

receiving, by a computing system, a chronological series of frames including a plurality of thermal images from one or more cameras including thermal sensors;

identifying, by the computing system, liquid candidates by comparing temperature characteristics of a current frame with a plurality of previous frames of the chronological series using edge detection on electronic signals from the thermal sensors, the comparison based on given pixels of the chronological series of frames including thermal or spectral properties different from thermal or spectral properties of background pixels of the chronological series of frames;

identifying, by the computing system, thermal signatures of the liquid candidates;

determining, by the computing system, types of liquids of the liquid candidates based on the thermal signatures of the liquid candidates; and

generating, by the computing system, an alert with the user interface corresponding to the determined types of liquids.

11. The method of claim 10 further comprising defining one or more monitoring zones within a patient area based on input from a user.

12. The method of claim 10 further comprising detecting motion of the liquid candidates by identifying changes in temperature of a given zone between the current frame and the plurality of previous frames.

13. The method of claim 12 , wherein the motion includes at least one of liquid spills, leaks, expulsion, pooling, accumulation, and dripping.

14. The method of claim 12 further comprising detecting the motion based on a temperature change corresponding to an appearance of liquids.

15. The method of claim 10 wherein the thermal signatures include an amount of heat, heat range, heat within a given area, heat or spectral uniformity and heat or spectral stability.

16. The method of claim 10 further comprising identifying the liquid candidates based on a comparison to room temperature.

17. The method of claim 10 further comprising identifying the liquid candidates based on a flow or movement corresponding to pixels of a warm object.

18. The method of claim 10 further comprising determining that the liquid candidates are bodily fluids.

Continuity (6)
Continuation 16250415 · Jan 17, 2019
Continuation 15926416 · Mar 20, 2018
Continuation 15332283 · Oct 24, 2016
Provisional Application 62244905 · Oct 22, 2015
Provisional Application 62261810 · Dec 1, 2015
Related Publication 20200151462A1 · May 14, 2020