Image based automatic defect detection of raw materials at production line
Material type:
TextDescription: MSC MI 2017-2019Subject(s): Dissertation note: MSC MI 2017-2019 INT
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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Project Reports
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Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | Non Fiction | Not for loan | R-1511 |
Quality control is one of the most crucial aspects in any industry and hence
is inevitable. But quality control and its associated checks can often be laborious,
time consuming and redundant. Substantial training and expertise
is also required for employees doing the manual work of dimension verification
especially in the cases where complex designs like curves come into the
scenario. To a great extent this particular process can be simplified making
the life easier for quality check team as well as substantially reducing the
time thus enhancing productivity for the company. The project identifies
Image Processing techniques which is not only Robust but highly scalable
for solving the issue.
MSC MI 2017-2019 INT Dr. Elizabeth Sherly
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