Fabric Defect Detection using Deep Learning

Project Code :TCMAPY628

Objective

The main objective of this project is to detect the defects from the fabric using deep learning

Abstract

The detection of fabric defects is critical in terms of industry quality. Many ways are being tried to achieve high precision using image processing studies in order to develop automatic systems for fault detection. Deep learning, which separates from multi-layer architectures and demonstrates great achievement, is applied to fabric defect identification in this study. Auto encoder, a deep learning method aiming at representing input data through compression or decompression, is used to detect fabric defects and achieves satisfactory success. The primary purpose of this study is to improve feature extraction performance by fine-tuning the auto encoder's input value and hyper parameters.

Keywords: deep learning, fabric defect detection, auto encoder, feature extraction

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W Specifications:

  • Processor:  I5/Intel Processor
  • RAM:  8GB (min)
  • Hard Disk: 128 GB

S/W Specifications:                            

  • Operating System:   Windows 10
  • Server-side Script :   Python 3.6
  • IDE:   PyCharm, Jupyter notebook
  •  Libraries Used:   Numpy, IO, OS, Flask, keras, pandas, tensorflow

 

Learning Outcomes

·         Practical exposure to

·         Hardware and software tools

·         Solution providing for real time problems

·         Working with team/individual

·         Work on creative ideas

·         Testing techniques

·         Error correction mechanisms

·         What type of technology versions is used?

·         Working of Tensor Flow

·         Implementation of Deep Learning techniques

·         Working of CNN algorithm

·         Working of Transfer Learning methods

·         Building of model creations

·         Scope of project

·         Applications of the project

·         About Python language

·         About Deep Learning Frameworks

·         Use of Data Science

Demo Video

mail-banner
call-banner
contact-banner
Request Video

Related Projects

Final year projects