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Gary F Nevers

from Lynn, MA
Age ~60
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Also known as:
Gary L Nevers, Gary E Nevers, Nevers Nevers
Phone and address:
2 Ellen Rd, Lynn, MA 01904
(781) 599-0345
Related to:
Porfirio Bencosme, 80
Connected to:
Aaron D Nevers, 52Angela S Nevers, 59Cayce N Nevers, 33Elaine M Nevers, 57Guy J Nevers, 58Kimberly M Nevers, 58Lawrence J Nevers, 78Anthony M Neverson, 41Danielle Neverson, 31Marion J Neversummer, 43

Gary Nevers Phones & Addresses

  • 2 Ellen Rd, Lynn, MA 01904 (781) 599-0345 (781) 842-0238
  • New Brunswick, NJ
  • 2 Ellen Rd, Lynn, MA 01904 (781) 599-0345

Work

Position: Craftsman/Blue Collar

Education

Degree: High school graduate or higher

Emails

b***[email protected]

Specialities

Civil Litigation • Trial Practice • Appellate Practice • Entertainment Law • Media Law • Business Law • Arbitration • Real Estate

Professional Records

Lawyers & Attorneys

Gary Nevers Photo 1

Gary Nevers - Lawyer

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Office:
Nevers, Palazzo, Packard, Wildermuth & Wynner, PC
Specialties:
Civil Litigation
Trial Practice
Appellate Practice
Entertainment Law
Media Law
Business Law
Arbitration
Real Estate
ISLN:
904180464
Admitted:
1978
University:
University of Utah, B.S., 1975
Law School:
University of California at Los Angeles, J.D., 1978

Business Records

Name / Title
Company / Classification
Phones & Addresses
Gary Nevers
Principal
Party Perfect Dj Com
Business Services at Non-Commercial Site · Nonclassifiable Establishments
2 Ellen Rd, Lynn, MA 01904

Publications

Us Patents

Video Web Inspection System Employing Filtering And Thresholding To Determine Surface Anomalies

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US Patent:
53011295, Apr 5, 1994
Filed:
Apr 29, 1992
Appl. No.:
7/875672
Inventors:
Stephen V. McKaughan - Arlington MA
Gary F. Nevers - Lynn MA
Joseph W. Landry - Saugus MA
John P. Fallon - Andover MA
Paul R. Adomaitis - Trafford PA
Assignee:
Aluminum Company of America - Pittsburgh PA
International Classification:
G06F 1100
US Classification:
364552
Abstract:
Method and apparatus for inspecting the surface of a moving web of homogeneous material for anomalies, the apparatus including a light source for illuminating the web surface and a light sensitive detector for receiving data from the web surface. The data is representative of the light reflected from the surface, as the light is affected by surface anomalies and background information. Computational means are provided for receiving output data from the detector in response to the data the detector receives from the web surface, and for processing the output data in a manner that determines the presence of surface anomalies. The computation means includes a plurality of filters for transforming the surface data in a manner that effects substantial elimination of the background information, and means for establishing threshold levels for background information. In addition, automatic means is provided for modifying the threshold levels in response to changes in the reflectance, frequency, or contrast of background information received by the detector and forwarded to the computation means.

Method And Apparatus For Measuring Crimp Frequency Of A Web

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US Patent:
53513088, Sep 27, 1994
Filed:
Dec 6, 1993
Appl. No.:
8/163383
Inventors:
Jon J. Kaminer - Richmond VA
Gary F. Nevers - Lynn MA
Edgar V. Sellers - Wilmington NC
Assignee:
E. I. Du Pont de Nemours and Company - Wilmington DE
International Classification:
G06K 900
US Classification:
382 8
Abstract:
A method and apparatus to non-destructively inspect and quantify yarn crimp characteristics either off-line or on-line at speeds in excess of 2,000 yds. /min. by acquiring images of yarn crimp on-line during the manufacturing process, then digitizing the images of yarn crimp and performing all data processing from the digital data required. Each image is segregated into features (e. g. valid crimp, low frequency oscillations, high frequency oscillations, edge oscillations, and unconfirmed oscillations with each parameter being analyzed separately. Features are segmented two dimensionally using techniques such as, but not limited to, local max/min intensity profiles and spatial intensity and frequency thresholding. Regions identified as abnormal are separated from areas of valid crimp before determining crimp frequency. Outputs of individual analysis are combined to determine global tow quality.
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Gary F Nevers from Lynn, MA, age ~60 Get Report