METHODS AND SYSTEMS FOR OPTICAL ASSET RECOGNITION AND LOCATION TRACKING

• US 20120033850A1
• Filed: 08/05/2010
• Published: 02/09/2012
• Est. Priority Date: 08/05/2010
• Status: Abandoned Application

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Wickline, James O'Neil, Villa, Steve Anthony, Owens, Kenneth G.
• Application Number:
  US12/851,172
• Publication Number:
  US 20120033850A1
• Time in Patent Office: Days
• US Class Current: 382/100
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Abstract

A method for managing assets associated with a platform is described. The method includes receiving an optical image of an asset associated with the platform, comparing, using an optical recognition program, the optical image of the asset to images of assets within a library of asset images to identify the asset, assigning a location for the identified asset, and updating a database, including one or more of an asset inventory and a platform configuration, based on the identification and location of the asset.

Claims

1. A method for managing assets associated with a platform, said method comprising:

receiving an optical image of an asset associated with the platform;

comparing, using an optical recognition program, the optical image of the asset to images of assets within a library of asset images to identify the asset;

assigning a location for the identified asset; and

updating a database, including one or more of an asset inventory and a platform configuration, based on the identification and location of the asset.

2. The method according to claim 1 wherein the asset is one of multiple assets of the same asset type, said method further comprising identifying the asset through entry of data into a user interface, the data including indicia indicative of a specific asset within the multiple assets of the same asset type.

3. The method according to claim 2 wherein the entry of indicia indicative of a specific asset includes at least one of a serial number and a part number.

4. The method according to claim 1 wherein comparing the optical image of the asset to images of assets within a library of asset images comprises using a model based algorithm to identify unique features of the asset.

5. The method according to claim 1 wherein comparing the optical image of the asset to images of assets within a library of asset images comprises comparing the received image to a three dimensional drawing within a technical publication database.

6. The method according to claim 1 wherein assigning a location for the identified asset comprises at least one of:

extrapolating a location of the identified asset from GPS referencing within the device that obtained the image of the asset;

manually entering a location into a user interface associated with a device that obtained the image of the asset; and

automatically entering a location for the identified asset into the database for an image received from an imaging device at a fixed location.

7. The method according to claim 1 wherein said receiving, said comparing, and said assigning is conducted at multiple locations associated with the asset to maintain accurate location data for the asset.

8. The method according to claim 7 wherein the multiple locations includes at least one of a warehousing waypoint, an asset repair facility, a supply bin of assets and a deployment platform for the asset.

9. The method according to claim 1 further comprising using asset location data to initiate an order for at least one replacement asset.

10. The method according to claim 1 further comprising correlating asset location data with automated information technology used in the shipping of the asset from location to location.

11. A system for identifying and location tracking of rotable assets associated with one or more platforms, said system comprising:

an image acquisition device operable for generating data representative of an optical image of a rotable asset;

a database, said database comprising data representative of three-dimensional drawings for a plurality of rotable assets; and

at least one processing device programmed to associate the data representative of an optical image of a rotable asset with data representative of three-dimensional drawings for one of the plurality of rotable assets to identify the rotable asset whose image was acquired.

12. The system according to claim 11 wherein said at least one processing device is programmed to associate a location with the data representative of an optical image of the rotable asset.

13. The system according to claim 11 wherein at least one of said image acquisition device and said at least one processing device comprise a GPS referencing capability, said at least one processing device programmed to associate a GPS location with the data representative of an optical image of the rotable asset.

14. The system according to claim 13 wherein said system is programmed to:

extrapolate a location of the identified asset from GPS referencing within said image acquisition device;

accept manually entered location data via into a user interface associated with at least one of said image acquisition device and said at least one processing device; and

automatically associate a location with the identified asset based on previously entered location data associated with an imaging device at a fixed location.

15. The system according to claim 13, said system programmed to initiate an order for at least one replacement asset based on location data associated with the data representative of an optical image of the rotable asset.

16. The system according to claim 11 wherein said image acquisition device and said at least one processing device comprise at least one of:

a portable image acquisition device;

a laptop computer comprising an image acquisition device associated therewith; and

a desktop computer in a fixed location comprising an image acquisition device associated therewith.

17. The system according to claim 11 further comprising a user interface communicatively coupled with said at least one processing device, wherein for a set of multiple assets of the same asset type, said system is operable for entry of data via said user interface, the data including indicia indicative of a specific asset within the set of multiple assets of the same asset type.

18. The system according to claim 11 wherein to associate the data representative of an optical image of a rotable asset with data representative of three-dimensional drawings for one of the plurality of rotable assets, said processing device is programmed to utilize a model based algorithm to identify unique features within the data representative of an optical image of a rotable asset and the data representative of the three-dimensional drawings for the plurality of rotable assets.

19. The system according to claim 11 wherein said data representative of three-dimensional drawings for a plurality of rotable assets comprises a technical publication database.

20. A method for identifying a rotable asset, said method comprising:

acquiring an optical image of the asset;

storing the optical image in a computer memory as data representative of the acquired optical image; and

comparing, using an optical recognition program, the data representative of the acquired optical image to data representative of a library of asset images to identify the asset.

21. The method according to claim 20 wherein said comparing provides an identification of a type of asset, said method further comprising entering data into a user interface, the data including indicia indicative of a specific asset within the identified type.

22. The method according to claim 20 wherein the data representative of the acquired optical image to data representative of a library of asset images comprises comparing the data representative of the acquired optical image to data representative of a three dimensional drawing.