Dean Wilson Webster

US Patent:

7085677, Aug 1, 2006

Filed:

Apr 19, 2004

Appl. No.:

10/827614

Inventors:

Cary R. Champlin - Issaquah WA, US
Felix F. Anthony - Issaquah WA, US
Mackenzie Smith - Issaquah WA, US
Anthony B. Williams - Shoreline WA, US
Alexander C. Prater - Seattle WA, US
James E. Bacus - Seattle WA, US
Suzanne C. Reynolds - Lexington KY, US
Dean W. Webster - Seattle WA, US

Assignee:

Amazon Technologies, Inc. - Incline Village NV

International Classification:

G06F 15/00
G06F 11/30

US Classification:

702182, 702 81, 702 82, 702174

Abstract:

A method, system, and computer-readable medium is described for automatically identifying incongruous item packages, such as to detect incongruities in the items that are included as contents of the item packages and/or to identify incongruities in the packaging used for the item packages. In some situations, the automatic identification of incongruous packages includes initially automatically learning appropriate values for parameters of items (e. g. , item weights and/or dimensions) based on automatically measured parameters of packages including those items. Those item values can then be used to estimate corresponding parameter values of sealed packages that contain those items, and to further identify incongruous item packages whose measured parameter values do not correspond to the estimated values for those parameters.

US Patent:

7707008, Apr 27, 2010

Filed:

Jun 1, 2006

Appl. No.:

11/445927

Inventors:

Cary R. Champlin - Issaquah WA, US
Felix F. Anthony - Issaquah WA, US
Mackenzie Smith - Issaquah WA, US
Anthony B. Williams - Shoreline WA, US
Alexander C. Prater - Seattle WA, US
James E. Bacus - Seattle WA, US
Suzanne C. Reynolds - Lexington KY, US
Dean W. Webster - Seattle WA, US

Assignee:

Amazon Technologies, Inc. - Incline Village NV

International Classification:

G06F 11/30
G06F 7/00

US Classification:

702182, 702174, 700115, 700216

Abstract:

A method, system, and computer-readable medium is described for automatically identifying incongruous item packages, such as to detect incongruities in the items that are included as contents of the item packages and/or to identify incongruities in the packaging used for the item packages. In some situations, the automatic identification of incongruous packages includes initially automatically learning appropriate values for parameters of items (e. g. , item weights and/or dimensions) based on automatically measured parameters of packages including those items. Those item values can then be used to estimate corresponding parameter values of sealed packages that contain those items, and to further identify incongruous item packages whose measured parameter values do not correspond to the estimated values for those parameters. This abstract is provided to comply with rules requiring an abstract, and it is not intended to be used to interpret or limit the scope or meaning of the claims.