An Approach to Develop Artificially Intelligent Agent for Automatic Defect Detection for Smart Manufacturing (Record no. 16585)

MARC details
000 -LEADER
fixed length control field 01655nam a22001817a 4500
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.4
Item number U48A
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Umbarje, Shweta
245 ## - TITLE STATEMENT
Title An Approach to Develop Artificially Intelligent Agent for Automatic Defect Detection for Smart Manufacturing
Statement of responsibility, etc by Shweta Umbarje
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication IIT Jodhpur
Name of publisher Department of Computer Science and Technology
Year of publication 2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages vii,16p.
Other physical details HB
500 ## - GENERAL NOTE
General note The quality inspection of industrial products is becoming increasingly complex as the manufacturing industry advances in its comprehensive intelligent development. Steel surface defects contain a variety of intricate properties, and those brought on by various production lines typically differ from one another. As a result, the generalization performance of the detection algorithms for steel surface defects should be good. Currently, there is no available dataset with geometrical shapes containing steel defects. Therefore, this work introduces the creation of a new dataset, which is different from the NEU dataset in terms of the shape of the surface. We created a dataset of six different classes of geometrical shapes using the NEU dataset with the goal of identifying defects in the surface of steel. This research mainly concentrated on the concave-convex geometric shape for the creation of the dataset and introduced a new method to classify where the defects are located in those samples.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Department of Computer Science and Technology
Topical Term Defect Detection
Topical Term MTech Theses
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Chattopadhyay, Chiranjoy
Personal name Desai, Kaushalkumar A.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis
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Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Source of acquisition Full call number Accession Number Price effective from Koha item type
        Theses S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Reference 2024-04-01 Office of Academics 006.4 U48A TM00521 2024-06-29 Thesis