Touchless identification in system for monitoring hand washing or application of a disinfectant

• US 20070064986A1
• Filed: 11/28/2005
• Published: 03/22/2007
• Est. Priority Date: 03/13/2001
• Status: Active Grant

• Current Assignee: Raymond Johnson
• Original Assignee: Raymond Johnson
• Inventors: Johnson, Raymond
• Granted Patent: US 7,542,586 B2
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: A47K 2210/00 Combinations of water taps, soap dispensers and hand dryers
• CPC Class Codes: G06V 40/107 Static hand or arm
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition
• CPC Class Codes: G08B 21/245 Reminder of hygiene compliance policies, e.g. of washing hands

Abstract

A system and method for monitoring hand washing or application of a disinfectant wherein a pattern recognition algorithm executed in a computer compares one or more digitized images of a user going through hand washing or disinfectant application motions with a reference set of images and creates a pass/fail report. An input device, digitizer and computer used in monitoring hand washing or application of a disinfectant may also be used as part of a touchless identification system to authenticate the user wherein an image processing algorithm and a mathematical algorithm executed in the computer identifies the user based on data extracted from the user'"'"'s digitized hand images.

Claims

1. A system for monitoring hand washing or spreading a disinfectant on a user'"'"'s hands comprising

a soap, detergent or disinfectant dispenser for applying soap, detergent or disinfectant to a user'"'"'s hands,

an input device in front of which a user places his or her hands after the dispenser has applied soap, detergent or disinfectant while the user goes through a set of motions of washing or spreading the disinfectant over his or her hands, said input device recording one or more images of the user'"'"'s hands while he or she is going through said set of motions,

a device for digitizing the images into digitized images,

a computer having an input for the digitized images and an output for a report,

a set of reference images taken of the user or of another person going through a set of motions for effective hand washing or spreading of a disinfectant, said reference images digitized into a set of reference digitized images and present in the computer,

a pattern recognition algorithm executed in the computer that compares the digitized images of the user'"'"'s hands with the reference set of digitized images to determine whether the user'"'"'s images match the reference images to a predetermined level that indicates effective hand washing or disinfectant spreading, and creates a compliance report sent through the output,

said system further comprising a touchless hand recognition system for identifying the user before applying soap, detergent or disinfectant wherein he or she places at least one of his or her hands in front of the input device, said input device recording one or more images of the user'"'"'s hand or hands,

said device for digitizing selected ones of the images into digitized images inputting them into the computer,

said computer having an image processing algorithm executed in the computer that extracts said user'"'"'s hand images from said digitized images, and

a mathematical algorithm executed in the computer for identifying the user based on data extracted from said digitized images.

2. The system of claim 1 wherein a first portion of the mathematical algorithm executed in the computer in the touchless hand recognition system applies a Cartesian coordinate system to the hand images and generates a mathematical approximation of observable hand features in the form of minutia data points referenced in said Cartesian coordinate system, said Cartesian coordinate system positioned with respect to selected features in the hand images serving as reference points,

a second portion of the mathematical algorithm executed in the computer in the touchless hand recognition system compares the minutia data points with a database containing a reference set of minutia data points for the user'"'"'s hand or hands taken at enrollment in the system and determines a percentage of match;

an output signal from said computer which is produced when said match percentage exceeds a set threshold and a different output signal when said match does not exceed said set threshold, said output signals creating an identification report.

3. The system of claim 1 wherein the mathematical algorithm compares the digitized images with a database containing a reference set of digitized images of the user'"'"'s hand or hands making a secret sign at enrollment in the system and determines a percentage of match,

an output signal from said computer which is produced when said match percentage exceeds a set threshold and a different output signal when said match does not exceed said set threshold, said output signals creating an identification report.

4. The system of claim 3 wherein the secret sign is a personal identification number formed by holding out fingers.

5. The system of claim 1 wherein the input device is connected to a video monitor in view of the user and wherein the mathematical algorithm compares the digitized images with a database containing a reference set of digitized images of the user'"'"'s hand or hands typing a secret code on a virtual keyboard seen in the video monitor and determines a percentage of match,

an output signal from said computer which is produced when said match percentage exceeds a set threshold and a different output signal when said match does not exceed said set threshold, said output signals creating an identification report.

6. A method for monitoring hand washing or spreading a disinfectant on a user'"'"'s hands comprising

having a user place his or her hands in front of a soap, detergent or disinfectant dispenser for applying a soap, detergent or disinfectant to the user'"'"'s hands,

having the user place his or her hands in front of an input device after the dispenser has applied soap, detergent or disinfectant while the user goes through a set of motions of washing or spreading the disinfectant over his or her hands, said input device recording one or more images of the user'"'"'s hands while he or she is going through said set of motions,

digitizing the images into digitized images,

executing a pattern recognition algorithm in a computer having an input for the digitized images and an output for a report, said computer having a digitized set of reference images taken of the user or of another person going through a set of motions for effective hand washing or spreading of a disinfectant, said pattern recognition algorithm comparing the digitized images of the user'"'"'s hands with the reference set of digitized images to determine whether the user'"'"'s images match the reference images to a predetermined level that indicates effective hand washing or disinfectant spreading and creating a report sent through the output,

said method further comprising a touchless hand recognition method for identifying the user before he or she approaches the soap, detergent or disinfectant dispenser comprising

placing at least one of his or her hands in front of the input device, said input device recording images of the user'"'"'s hand or hands,

digitizing selected ones of the images into digitized images inputting them into the computer,

executing an image processing algorithm in the computer that extracts said user'"'"'s hand images from said digitized images,

executing a mathematical algorithm in the computer that applies a Cartesian coordinate system to the hand images and generates a mathematical approximation of observable hand features in the form of minutia data points referenced in said Cartesian coordinate system, said Cartesian coordinate system positioned with respect to selected features in the hand images serving as reference points,

executing a mathematical algorithm in the computer that compares the minutia data points with a database containing a reference set of minutia data points for the user'"'"'s hand or hands taken at enrollment in the system and determines a percentage of match,

an output signal from said computer which is produced when said match percentage exceeds a set threshold and a different output signal when said match does not exceed said set threshold, said output signals creating an identification report.

7. The method of claim 6 wherein a first portion of the mathematical algorithm executed in the computer in the touchless hand recognition system applies a Cartesian coordinate system to the hand images and generates a mathematical approximation of observable hand features in the form of minutia data points referenced in said Cartesian coordinate system, said Cartesian coordinate system positioned with respect to selected features in the hand images serving as reference points,

a second portion of the mathematical algorithm executed in the computer in the touchless hand recognition system compares the minutia data points with a database containing a reference set of minutia data points for the user'"'"'s hand or hands taken at enrollment in the system and determines a percentage of match;

an output signal from said computer which is produced when said match percentage exceeds a set threshold and a different output signal when said match does not exceed said set threshold, said output signals creating an identification report.

8. The system of claim 6 wherein the mathematical algorithm compares the digitized images with a database containing a reference set of digitized images of the user'"'"'s hand or hands making a secret sign at enrollment in the system and determines a percentage of match,

an output signal from said computer which is produced when said match percentage exceeds a set threshold and a different output signal when said match does not exceed said set threshold, said output signals creating an identification report.

9. The system of claim 8 wherein the secret sign is a personal identification number formed by holding out fingers.

10. The system of claim 6 wherein the input device is connected to a video monitor in view of the user and wherein the mathematical algorithm compares the digitized images with a database containing a reference set of digitized images of the user'"'"'s hand or hands typing a secret code on a virtual keyboard seen in the video monitor and determines a percentage of match,

an output signal from said computer which is produced when said match percentage exceeds a set threshold and a different output signal when said match does not exceed said set threshold, said output signals creating an identification report.

11. A touchless hand recognition system for identifying an individual comprising:

an optical input device in front of which a user places at least one of his or her hands, said input device recording optical images of the user'"'"'s hand or hands;

a device for digitizing selected ones of the optical images into digitized images;

a computer having input for the digitized images,

an image processing algorithm executed in the computer that extracts said user'"'"'s hand images from said digitized images;

a mathematical algorithm executed in the computer for identifying the user based on data extracted from said digitized images.

12. The system of claim 11 wherein a first portion of the mathematical algorithm executed in the computer applies a Cartesian coordinate system to the hand images and generates a mathematical approximation of observable hand features in the form of minutia data points referenced in said Cartesian coordinate system, said Cartesian coordinate system positioned with respect to selected features in the hand images serving as reference points,

a second portion of the mathematical algorithm executed in the computer compares the minutia data points with a database containing a reference set of minutia data points for the user'"'"'s hand or hands taken at enrollment in the system and determines a percentage of match;

an output signal from said computer which is produced when said match percentage exceeds a set threshold and a different output signal when said match does not exceed said set threshold, said output signals creating an identification report.

13. The hand recognition system of claim 12 wherein the image processing algorithm is an edge detecting algorithm.

14. The hand recognition system of claim 12 wherein the image processing algorithm is a Sobel edge detector.

15. The hand recognition system of claim 12 wherein the image processing algorithm is a Laplacian edge detector.

16. The hand recognition system of claim 12 wherein the image processing algorithm is a Canny edge detector.

17. The hand recognition system of claim 12 wherein the image processing algorithm is a Bergholm edge detector.

18. The hand recognition system of claim 12 wherein the mathematic approximation of observable hand features is a Bezier curve of a selected order.

19. The system of claim 11 wherein the mathematical algorithm compares the digitized images with a database containing a reference set of digitized images of the user'"'"'s hand or hands making a secret sign at enrollment in the system and determines a percentage of match,

an output signal from said computer which is produced when said match percentage exceeds a set threshold and a different output signal when said match does not exceed said set threshold, said output signals creating an identification report.

20. The system of claim 19 wherein the secret sign is a personal identification number formed by holding out fingers.

21. The system of claim 11 wherein the optical input device is connected to a video monitor in view of the user and wherein the mathematical algorithm compares the digitized images with a database containing a reference set of digitized images of the user'"'"'s hand or hands typing a secret code on a virtual keyboard seen in the video monitor and determines a percentage of match,

an output signal from said computer which is produced when said match percentage exceeds a set threshold and a different output signal when said match does not exceed said set threshold, said output signals creating an identification report.