Implementation of automatic inspection system

Thesis: M. Eng. in Manufacturing, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.

Bibliographic Details
Main Author: Chawla, Yugank
Other Authors: David E. Hardt.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/93843
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author Chawla, Yugank
author2 David E. Hardt.
author_facet David E. Hardt.
Chawla, Yugank
author_sort Chawla, Yugank
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description Thesis: M. Eng. in Manufacturing, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.
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spelling mit-1721.1/938432019-04-09T15:51:46Z Implementation of automatic inspection system Chawla, Yugank David E. Hardt. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis: M. Eng. in Manufacturing, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (pages 78-80). Inspection is the formal examination of a product manufactured by any manufacturing process. Inspection process is critical to all the industries as it ensures that a good quality product reach at the end customers. In order to ensure minimum variation in the quality of inspection of a product, industries rely on advanced equipment or gauge to measure the quality parameters of the product. The accuracy of inspection depends a lot on the method and equipments used to inspect a product. However, at AvCarb material solutions, a product called pyrolytic graphite sheet (PGS) is manufactured and at present the types of defects that occur during their manufacturing process can only be identified visually. The problem with using human senses as a tool to perform an inspection is that the accuracy and speed of the inspection vary from person to person based on their experience, their state of mind and other human factors. Automating a visual inspection system ensures minimum variation in the accuracy and speed of an inspection process. This thesis proposes the use of the automatic vision system to perform visual inspection of PGS. The document presents how some software tools can be used to identify and quantify the defects generated on PGS and gives a comparison of the accuracy of identifying a defect through the automatic vision system and accuracy achieved through human inspection. by Yugank Chawla. M. Eng. in Manufacturing 2015-02-05T18:28:21Z 2015-02-05T18:28:21Z 2014 2014 Thesis http://hdl.handle.net/1721.1/93843 900969964 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 80 pages application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Chawla, Yugank
Implementation of automatic inspection system
title Implementation of automatic inspection system
title_full Implementation of automatic inspection system
title_fullStr Implementation of automatic inspection system
title_full_unstemmed Implementation of automatic inspection system
title_short Implementation of automatic inspection system
title_sort implementation of automatic inspection system
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/93843
work_keys_str_mv AT chawlayugank implementationofautomaticinspectionsystem