Measuring and analyzing multi-dimensional sensory information for identification purposes

• US 20090234587A1
• Filed: 03/20/2009
• Published: 09/17/2009
• Est. Priority Date: 03/10/2000
• Status: Active Grant

• Current Assignee: Smiths Detection (Smiths Group International Holdings Ltd.)
• Original Assignee: Smiths Detection (Smiths Group International Holdings Ltd.)
• Inventors: Hsiung, Chang-Meng B., Li, Jing, Zhang, Shou-Hua, Sunshine, Steven A., Roy, Ajoy K., Munoz, Beth, Steinthal, Michael G., Vicic, Michael A.
• Granted Patent: US 7,840,359 B2
• Time in Patent Office: Days
• US Class Current: 702/22
• CPC Class Codes: G01N 33/0031 comprising two or more sensors, e.g. a sensor array electrochemical electrode arrays G01N27/27
• CPC Class Codes: G01N 33/0034 comprising neural networks or related mathematical techniques
• CPC Class Codes: G06F 18/00 Pattern recognition
• CPC Class Codes: G06F 18/40 Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor

Abstract

Methods and systems are provides for measuring multi-dimensional sensing information for identification purposes. The identity of one or more substances is determined through analysis of multidimensional data that can include, among others, intrinsic information as well as extrinsic information. The method for identification of a substance comprises utilizing pattern recognition to form descriptors to identify characteristics of the substance. A system and computer program for performing analysis of the multidimensional data are also described.

Claims

1. A system comprising memory including a computer code product, the memory comprising:

a) a code directed to acquiring over a computer network a first data from a first sensing device, wherein the first sensing device comprises at least one chemical or biological sensor;

b) a code directed to acquiring over a computer network a second data from a second sensing device, wherein the second sensing device comprises at least one temperature, pressure or magnetic sensor, and

c) a code directed to applying a pattern recognition algorithm to the first data and second data and performing a combined analysis on the first data and second data to classify or identify a substance.

3. The system of claim 1, wherein the pattern recognition is a Fisher Linear Discriminant Analysis.

4. The system of claim 1, wherein the first data and the second data can be selected from a transient stream of data or from a static source of data.

5. The system of claim 1, wherein the data from the first device and the second device is data obtained for shipping container monitoring.

6. The system of claim 1, wherein the data from the first device and the second device is data obtained for perimeter monitoring.

7. The system of claim 1, wherein the data from the first device and the second device is data obtained for explosive monitoring.

8. The system of claim 1, wherein the data from the first device and the second device is data obtained for hazardous spill monitoring.

9. The system of claim 1, wherein the data from the first device and the second device is data obtained for radiation monitoring.

2. A method comprising:

a) acquiring over a computer network a first data from a first sensing device, wherein the first sensing device comprises at least one chemical or biological sensor;

b) acquiring over a computer network a second data from a second sensing device, wherein the second sensing device comprises at least one temperature, pressure or magnetic sensor;

c) storing the first data and second data in memory;

d) applying a pattern recognition algorithm to the first data and second data and performing a combined analysis based on the first data and second data to classify or identify a substance; and

e) storing a classification or identification of the substance.

10. The method of claim 2, wherein the pattern recognition is a Fisher Linear Discriminant Analysis.

11. The method of claim 2, wherein the first data and the second data can be selected from a transient stream of data or from a static source of data.

12. The method of claim 2, wherein the data from the first device and the second device is data obtained for shipping container monitoring.

13. The method of claim 2, wherein the data from the first device and the second device is data obtained for perimeter monitoring.

14. The method of claim 2, wherein the data from the first device and the second device is data obtained for explosive monitoring.

15. The method of claim 2, wherein the data from the first device and the second device is data obtained for hazardous spill monitoring.

16. The method of claim 2, wherein the data from the first device and the second device is data obtained for radiation monitoring.