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Fabric defects in woven and knitted fabric - hitesh choudhary
Fabric defects in woven and knitted fabric - hitesh choudhary
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This is about garments inspection.
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Recommended
download it in ppt format to watch animation.
Fabric defects in woven and knitted fabric - hitesh choudhary
Fabric defects in woven and knitted fabric - hitesh choudhary
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This is about garments inspection.
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This fault library will help to give awareness about faults and root causes & its corrective action to quality inspectors who are working in garment manufacturing industry.
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The topic stitch has been divided into 3 part. Here is the first part. Stay connected for the rest of the part.
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Garment manufacturing is an assembly- oriented activity with a great range of raw materials, product types, production volumes, supply chains, retail markets and associated technologies. Companies range from small family business to multinationals. The clothing industry is labour intensive industry.
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The file contains a descriptive information of garment seams. You can find a video with Bengali description of the below link https://www.youtube.com/watch?v=QXpg0MbzaQo&t=918s
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Detection of faults during production of knitted fabric is crucial for improved quality and productivity. The yarn input tension is an important parameter that can he used for this purpose. We can Problems faced in the Knitted Fabrics, due to the Dyeing & Finishing processes
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This paper proposes a method for fabric defect detection based on neural network. The global market for textile industry is highly competitive nowadays. Neural network is widely used to extract features from images for texture segmentation. The proposed scheme involves two challenging problem .i.e. defect detection and defect classification. Scene analysis and feature selection play an important role in classification process. The complexity of the subsequent steps increases and the classification task becomes hard by selecting an inappropriate feature set. So possibly an appropriate set of geometric features is taken into account in order to address the problem of neural network-based textile defect classification. Statistical approach is used to extract the features.
Fabric Defect Detection by using Neural Network technique
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Detail of Fabric Faults
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The topic stitch has been divided into 3 part. Here is the first part. Stay connected for the rest of the part.
Stitch and it's classification (part 1)
Stitch and it's classification (part 1)
Md Shamsuzzaman Rasel
Garment manufacturing is an assembly- oriented activity with a great range of raw materials, product types, production volumes, supply chains, retail markets and associated technologies. Companies range from small family business to multinationals. The clothing industry is labour intensive industry.
Apparel manufacturing process
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This is a presentation on single jersey fabric.
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Seam
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The file contains a descriptive information of garment seams. You can find a video with Bengali description of the below link https://www.youtube.com/watch?v=QXpg0MbzaQo&t=918s
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Detection of faults during production of knitted fabric is crucial for improved quality and productivity. The yarn input tension is an important parameter that can he used for this purpose. We can Problems faced in the Knitted Fabrics, due to the Dyeing & Finishing processes
Fault of knitted fabrics
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Viewers also liked
This paper proposes a method for fabric defect detection based on neural network. The global market for textile industry is highly competitive nowadays. Neural network is widely used to extract features from images for texture segmentation. The proposed scheme involves two challenging problem .i.e. defect detection and defect classification. Scene analysis and feature selection play an important role in classification process. The complexity of the subsequent steps increases and the classification task becomes hard by selecting an inappropriate feature set. So possibly an appropriate set of geometric features is taken into account in order to address the problem of neural network-based textile defect classification. Statistical approach is used to extract the features.
Fabric Defect Detection by using Neural Network technique
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Zed Zero Defect Zero Effect India 68th Independence Day Hon Prime minster Shri Nandra Modi Addressed this to mainly to the micro small and medium enterprise that to manufacture goods in the country with "zero defects" and to ensure that the goods have "zero effect" on the environment. The zero effect zero defect, also known as the ZED Maturity model campaign, the government is essentially emphasising on quality (using clean technology) over quantity, thereby enabling Brand India to get visibility in the manufacturing centre stage of the world. Zed was sponsored by Department of Industrial policy & promotion (DIPP) Ministry of commerce & industry of India Under Quality counsel of India (QCI) By Govt of INDIA
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Fabric defects
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Fabric Defects Jijo M
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