Philip Morris Inc.

Altria Client Services LLC

Chrysalis Technologies Incorporated

Philip Morris USA Inc.

Other

Lockheed Martin Energy Research Corporation

Ut-battelle, Inc.

Seetharama C Deevi

Mohammad R Hajaligol

A Clifton Lilly, Jr

Grier S Fleischhauer

Henry M Dante

Vinod Kumar Sikka

Samuel Timothy Henry

Michael L Watkins

Charles T Higgins

Billy J Keen, Jr

Mary Ellen Counts

Susan E Wrenn

Sarojini Deevi

Willie G Houck, Jr

Patrick H Hayes

Bernard C LaRoy

Constance H Nichols

D Bruce Losee

William H Stevens

Alfred L Collins

Donald E Miser

Qiwei Liang

Peter J Lipowicz

Rangaraj S Sundar

Francis V Utsch

Randall M German

Clive Scorey

Amitabh Das

Kudumboor Venkat Rao

Bruce E Waymack

Mohammad R Hajalogol

Mantharam Subbiah

Ziyan Gu

Yezdi B Pithawalla

F Murphy Sprinkel, Jr

Shalva Gedevanishvili

G Robert Scott

Robert L Ripley

Herbert Herman

Robert E Lee

Francis M Sprinkel

Renzer R Ritt, Sr

Wynn R Raymond

Hugh J McCafferty, Ii

Donald M Schleich

Azzedine Bensalem

Valter Ström

Donald B Losee, Jr

A Clifford Lilly, Jr

Mohammed R Hajaligol

Walter Allen Nichols

Danny S Moshe

Wei-Jun Zhang

Harry V Lanzillotti

Kenneth S Houghton

Curtis M Hinton

Sohini PalDey

M Samy El-Shall

Joseph D Vought

C Randal Howell

Pamela D Lieberman

Robert V Gansert

Bruce D Losee, Jr

Sung Yi

Sarojini D Ariprala

Diane S Kellogg

Arnys C Lilly, Jr

C T Liu

M S El Shall

Grier Fleishhauer

Dwadasi H Sastry

Edward L Carmines

Fang Tian

Raymond R Schleef

A method for removing foreign matter from an agricultural product stream of a manufacturing process. The method includes conveying a product stream past an inspection station; scanning a region of the agricultural product stream as it passes the inspection station using at least one light source of a single or different wavelengths; generating hyperspectral images from the scanned region; determining a spectral fingerprint for the agricultural product stream from the hyperspectral images; comparing the spectral fingerprint obtained in step (c) to a spectral fingerprint database containing a plurality of fingerprints using a computer processor to determine whether foreign matter is present and, if present, generating a signal in response thereto; and removing a portion of the conveyed product stream in response to the signal. A system for detecting foreign matter within an agricultural product stream is also provided.

On-line oil and foreign matter detection system and method employing hyperspectral imaging

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.

Blending of agricultural products via hyperspectral imaging and analysis

Provided is a method for monitoring a manufacturing process of an agricultural product. The method utilizes hyperspectral imaging and comprises scanning at least one region along a sample of agricultural product using at least one light source of a single or different wavelengths; generating hyperspectral images from the at least one region; determining a spectral fingerprint for the sample of agricultural product from the hyperspectral images; and comparing the spectral fingerprint so obtained to a spectral fingerprint database containing a plurality of fingerprints obtained at various points of the manufacturing process, using a computer processor, to determine which point in the manufacturing process the sample has progressed to.

Hyperspectral imaging system for monitoring agricultural products during processing and manufacturing

An intermetallic or iron aluminide magnetically readable medium and a method of forming and reading the same are provided herein. Also provided is an identification card or tag, a key, an anti-counterfeiting measure, an anti-forging measure. The intermetallic or iron aluminide magnetically readable medium includes a magnetically readable surface, wherein the magnetically readable surface contains one or more first magnetically readable regions of the intermetallic or iron aluminide surrounded by one or more second magnetically readable regions. Additionally, the intermetallic or iron aluminide magnetically readable medium can be coated, encapsulated or concealed within a material.

Intermetallic magnetically readable medium

A method for removing foreign matter from an agricultural product stream of a manufacturing process. The method includes conveying a product stream past an inspection station; scanning a region of the agricultural product stream as it passes the inspection station using at least one light source of a single or different wavelengths; generating hyperspectral images from the scanned region; determining a spectral fingerprint for the agricultural product stream from the hyperspectral images; comparing the spectral fingerprint obtained in step (c) to a spectral fingerprint database containing a plurality of fingerprints using a computer processor to determine whether foreign matter is present and, if present, generating a signal in response thereto; and removing a portion of the conveyed product stream in response to the signal. A system for detecting foreign matter within a agricultural product stream is also provided.

On-line oil and foreign matter detection stystem and method employing hyperspectral imaging

A system for grading an agricultural product employing hyper-spectral imaging and analysis. The system includes at least one light source for providing a beam of light, an interferometer or a prism array for dispersing electromagnetic radiation emitted from said agricultural product into a corresponding spectral image, a light measuring device for detecting component wavelengths within the corresponding spectral image and a processor operable to compare the detected component wavelengths to a database of previously graded agricultural products to identify and select a grade for the agricultural product. A method for grading an agricultural product via hyper-spectral imaging and analysis is also provided.

Grading of agricultural products via hyper spectral imaging and analysis

Growing community of inventors

Midlothian, VA, United States of America

Seetharama C Deevi