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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 10896325 B1

PDFFull Text
Date of Patent:
Jan. 19, 2021

Filed:

Nov. 19, 2013

Blending of agricultural products via hyperspectral imaging and analysis

Applicant:

Altria Client Services Llc, Richmond, VA (US);

Inventors:

Seetharama C. Deevi, Midlothian, VA (US);

Henry M. Dante, Midlothian, VA (US);

Qiwei Liang, Midlothian, VA (US);

Samuel Timothy Henry, Midlothian, VA (US);

Assignee:

Altria Client Services LLC, Richmond, VA (US);

Attorney:

Harness, Dickey & Pierce, P.L.C.

Primary Examiner:

Michael H Wilson

Assistant Examiner:

Katherine A Will

Int. Cl.
CPC ...
G06K 9/00 (2006.01); A24B 15/18 (2006.01); G01J 3/28 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06F 16/51 (2019.01); G01N 21/31 (2006.01); A24B 3/16 (2006.01); B07C 5/342 (2006.01); B07C 5/36 (2006.01); G06T 7/00 (2017.01); G01N 21/84 (2006.01);
U.S. Cl.
CPC ...
G06K 9/0063 (2013.01); A24B 3/16 (2013.01); A24B 15/18 (2013.01); B07C 5/342 (2013.01); B07C 5/366 (2013.01); G01J 3/28 (2013.01); G01J 3/2823 (2013.01); G01N 21/31 (2013.01); G01N 21/84 (2013.01); G06F 16/51 (2019.01); G06K 9/4604 (2013.01); G06K 9/6202 (2013.01); G06T 7/0008 (2013.01); H05K 999/99 (2013.01); G01J 2003/2826 (2013.01); G01N 2021/8461 (2013.01); G01N 2021/8466 (2013.01); G06K 2009/4657 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/30108 (2013.01); G06T 2207/30188 (2013.01);
Abstract

Provided is a method for blending of agricultural product utilizing hyperspectral imaging. At least one region along a sample of agricultural product is scanned using at least one light source of different wavelengths. Hyperspectral images are generated from the at least one region. A spectral fingerprint for the sample of agricultural product is formed from the hyperspectral images. A plurality of samples of agricultural product is blended based on the spectral fingerprints of the samples according to parameters determined by executing a blending algorithm.

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