IP Library Granted Patent US 10,591,578
Granted Patent B2
US 10,591,578 · App. 15/668,899 · Granted Mar 17, 2020

Method, apparatus, and computer program product for employing a spatial association model in a real time location system

Inventors: James J. O'Hagan (McHenry, IL); Rodrigo G. Alonso (Gilroy, CA); Michael A. Wohl (Talbott, TN)
Assignee: Zebra Technologies Corporation
G01S5/021G01S5/0205H04W4/023H04W4/029
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Quick Facts
Patent No.
US 10,591,578
App. No.
15/668,899
Granted
Mar 17, 2020
Kind
B2
Abstract

An example for processing location information received from a radio frequency (RF) location tag includes determining a first location of a first RF location tag associated with an asset; determining at least one second location of at least one second RF location tag associated with the asset; determining, using a processor, that the first location is not a valid location based at least in part on a comparison of the first location with the at least one second location using a spatial association model associated with the asset; and identifying the first location as erroneous in response to determining that the first location is not a valid location.

Claims (33)

1. A method for processing location information received from a radio frequency (RF) location tag, the method comprising:

determining a first location of a first RF location tag associated with an asset;

determining at least one second location of at least one second RF location tag associated with the asset;

comparing, using a processor, the first location with the at least one second location;

determining whether the first location is a valid location based on an application of a spatial association model associated with the asset to the comparison of the first location with the at least one second location, wherein the spatial association model includes a distance relationship between the first RF location tag and the at least one second RF location tag; and

identifying the first location as erroneous in response to determining that the first location is not a valid location based on the distance relationship.

2. The method of claim 1 , wherein the distance relationship comprises a maximum distance between the first RF location tag and the at least one second RF location tag.

3. The method of claim 1 , wherein the spatial association model comprises a quantity of RF location tags associated with the asset.

4. The method of claim 1 , wherein the distance relationship comprises a range of acceptable distances between the first RF location tag and the at least one second RF location tag.

5. The method of claim 1 , wherein the distance relationship comprises a physical distance between points on the asset associated with at least one RF location tag.

6. The method of claim 5 , wherein the asset is a human being, and wherein the distance relationship is determined based at least in part on biometric measurements of the human being.

7. An apparatus for processing location information received from a radio frequency (RF) location tag, the apparatus comprising a processor coupled to a memory, the memory comprising instructions that, when executed by the apparatus, configure the apparatus to:

determine a first location of a first RF location tag associated with an asset;

determine at least one second location of at least one second RF location tag associated with the asset;

compare the first location with the at least one second location;

determine whether the first location is a valid location based on an application of a spatial association model associated with the asset to the comparison of the first location with the at least one second location, wherein the spatial association model includes a distance relationship between the first RF location tag and the at least one second RF location tag; and

identify the first location as erroneous in response to determining that the first location is not a valid location based on the distance relationship.

8. The apparatus of claim 7 , wherein the distance relationship comprises a maximum distance between the first RF location tag and the at least one second RF location tag.

9. The apparatus of claim 7 , wherein the spatial association model comprises a quantity of RF location tags associated with the asset.

10. The apparatus of claim 7 , wherein the distance relationship comprises a range of acceptable distances between the first RF location tag and the at least one second RF location tag.

11. The apparatus of claim 7 , wherein the distance relationship comprises a physical distance between points on the asset associated with at least one RF location tag.

12. The apparatus of claim 11 , wherein the asset is a human being, and wherein the distance relationship is determined based at least in part on biometric measurements of the human being.

13. A computer program product comprising a non-transitory computer readable storage medium, the non-transitory computer readable storage medium comprising instructions that, when executed by a processor, configure an apparatus to:

determine a first location of a first RF location tag associated with an asset;

determine at least one second location of at least one second RF location tag associated with the asset;

compare the first location with the at least one second location;

determine whether the first location is a valid location based on an application of a spatial association model associated with the asset to the comparison of the first location with the at least one second location, wherein the spatial association model includes a distance relationship between the first RF location tag and the at least one second RF location tag; and

identify the first location as erroneous in response to determining that the first location is not a valid location based on the distance relationship.

14. The computer program product of claim 13 , wherein the distance relationship comprises a maximum distance between the first RF location tag and the at least one second RF location tag.

15. The computer program product of claim 13 , wherein the spatial association model comprises a number of RF location tags associated with the asset.

16. The computer program product of claim 13 , wherein the distance relationship comprises a range of acceptable distances between the first RF location tag and the at least one second RF location tag.

17. The computer program product of claim 13 , wherein the distance relationship comprises a physical distance between points on the asset associated with at least one RF location tag.

18. The computer program product of claim 17 , wherein the asset is a human being, and wherein the distance relationship is determined based at least in part on biometric measurements.

Assignments (5)
RELEASE OF SECURITY INTEREST - 364 - DAY Recorded Mar 5, 2021
From: JPMORGAN CHASE BANK, N.A.
To: ZEBRA TECHNOLOGIES CORPORATION; LASER BAND, LLC; TEMPTIME CORPORATION
Reel/Frame 056036/0590 →
SECURITY INTEREST Recorded Sep 1, 2020
From: ZEBRA TECHNOLOGIES CORPORATION; LASER BAND, LLC; TEMPTIME CORPORATION
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 053841/0212 →
SECURITY INTEREST Recorded Jul 3, 2019
From: ZEBRA TECHNOLOGIES CORPORATION
To: JPMORGAN CHASE BANK, N.A., AS COLLATERAL AGENT
Reel/Frame 049674/0916 →
MERGER Recorded Jan 16, 2019
From: ZIH CORP.
To: ZEBRA TECHNOLOGIES CORPORATION
Reel/Frame 048470/0848 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 8, 2017
From: O'HAGAN, JAMES J.; ALONSO, RODRIGO; WOHL, MICHAEL A.
To: ZIH CORP.
Reel/Frame 043230/0662 →
Continuity (3)
Continuation 14732623 · Jun 5, 2015
Provisional Application 62009152 · Jun 6, 2014
Related Publication 20170356978A1 · Dec 14, 2017