Optimizing Woven Curtain Fabric Defect Classification using Image Processing with Artificial Neural Network Method at PT Buana Intan Gemilang
The textile industry is one of the industries that provide high export value by occupying the third position in Indonesia. The process of inspection on traditional textile enterprises by relying on human vision that takes an average scanning time of 19.87 seconds. Each roll of cloth should be inspec...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201713500052 |
| _version_ | 1818620656695115776 |
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| author | Shadika Mulyana Tatang Rendra Meldi |
| author_facet | Shadika Mulyana Tatang Rendra Meldi |
| author_sort | Shadika |
| collection | DOAJ |
| description | The textile industry is one of the industries that provide high export value by occupying the third position in Indonesia. The process of inspection on traditional textile enterprises by relying on human vision that takes an average scanning time of 19.87 seconds. Each roll of cloth should be inspected twice to avoid missed defects. This inspection process causes the buildup at the inspection station. This study proposes the automation of inspection systems using the Artificial Neural Network (ANN). The input for ANN comes from GLCM extraction. The automation system on the defect inspection resulted in a detection time of 0.56 seconds. The degree of accuracy gained in classifying the three types of defects is 88.7%. Implementing an automated inspection system results in faster processing time. |
| first_indexed | 2024-12-16T17:56:51Z |
| format | Article |
| id | doaj.art-1e4899a3a34440029220ab6afa8eab20 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-16T17:56:51Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-1e4899a3a34440029220ab6afa8eab202022-12-21T22:22:08ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011350005210.1051/matecconf/201713500052matecconf_icme2017_00052Optimizing Woven Curtain Fabric Defect Classification using Image Processing with Artificial Neural Network Method at PT Buana Intan GemilangShadikaMulyana TatangRendra MeldiThe textile industry is one of the industries that provide high export value by occupying the third position in Indonesia. The process of inspection on traditional textile enterprises by relying on human vision that takes an average scanning time of 19.87 seconds. Each roll of cloth should be inspected twice to avoid missed defects. This inspection process causes the buildup at the inspection station. This study proposes the automation of inspection systems using the Artificial Neural Network (ANN). The input for ANN comes from GLCM extraction. The automation system on the defect inspection resulted in a detection time of 0.56 seconds. The degree of accuracy gained in classifying the three types of defects is 88.7%. Implementing an automated inspection system results in faster processing time.https://doi.org/10.1051/matecconf/201713500052 |
| spellingShingle | Shadika Mulyana Tatang Rendra Meldi Optimizing Woven Curtain Fabric Defect Classification using Image Processing with Artificial Neural Network Method at PT Buana Intan Gemilang MATEC Web of Conferences |
| title | Optimizing Woven Curtain Fabric Defect Classification using Image Processing with
Artificial Neural Network Method at PT Buana Intan Gemilang |
| title_full | Optimizing Woven Curtain Fabric Defect Classification using Image Processing with
Artificial Neural Network Method at PT Buana Intan Gemilang |
| title_fullStr | Optimizing Woven Curtain Fabric Defect Classification using Image Processing with
Artificial Neural Network Method at PT Buana Intan Gemilang |
| title_full_unstemmed | Optimizing Woven Curtain Fabric Defect Classification using Image Processing with
Artificial Neural Network Method at PT Buana Intan Gemilang |
| title_short | Optimizing Woven Curtain Fabric Defect Classification using Image Processing with
Artificial Neural Network Method at PT Buana Intan Gemilang |
| title_sort | optimizing woven curtain fabric defect classification using image processing with artificial neural network method at pt buana intan gemilang |
| url | https://doi.org/10.1051/matecconf/201713500052 |
| work_keys_str_mv | AT shadika optimizingwovencurtainfabricdefectclassificationusingimageprocessingwithartificialneuralnetworkmethodatptbuanaintangemilang AT mulyanatatang optimizingwovencurtainfabricdefectclassificationusingimageprocessingwithartificialneuralnetworkmethodatptbuanaintangemilang AT rendrameldi optimizingwovencurtainfabricdefectclassificationusingimageprocessingwithartificialneuralnetworkmethodatptbuanaintangemilang |