• Corpus ID: 5205700

FABRIC DEFECT INSPECTION SYSTEM USING NEURAL NETWORK AND MICROCONTROLLER

@inproceedings{Mursalin2008FABRICDI,
  title={FABRIC DEFECT INSPECTION SYSTEM USING NEURAL NETWORK AND MICROCONTROLLER},
  author={Tamnun E. Mursalin and Fajrana Zebin Eishita and Ahmed Ridwanul Islam},
  year={2008}
}
In a Least Developed Country (LDC) like Bangladesh where the textile is the main core of our economy; still there is a major drawback in this sector which is the defect detection of the fabric. In the manual fault detection system with highly trained inspectors, very less percentage of the defects are being detected in upon fabrics in the textile industries. But a real time automatic system can increase this percentage in a maximum number. This research implements a textile defect detector… 

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