Idea Details

Team and Contact Details

SNo Student Name School Degree Year Email
1Atif LiaqatCEMEUndergraduateFourthatifliaqat1000@gmail.com
1Muhammad BilalCEMEUndergraduateFourthbilalcheema956@gmail.com

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: Textile Overhaul
Slogan: Fast and Fury
Supervisor Name: Dr saad rehman
Supervisor Designation: Deputy HOD
Supervisor School: CEME
Supervisor Department: COMPUTER ENGINEERING
Contact number: 03118527037
Email ID: saadrehman@ceme.nust.edu.pk
Abstract:
    In textile industry, one of steps is to detect faults in cloth and that is generally done manually by workers. We want to enable fast and efficient process of fault detection using image processing.
What is the unmet need in society that your idea will fulfill ?
    There are many workers in textile industry who get paid based on their manual work and this project minimizes that payment cost by automating the fault detection process.
Who needs it ? How many would benefit ?
    The benefactors of this project are the industrialists who are able to minimize the quantity of workers needed for textile manufacturing.
How will the solution works
    Generally, in a textile industry, faults during cloth manufacturing are detected by workers and this project aims to replace those workers by automated fault detection system. This fault detection system comprises of line cameras or industrial cameras placed above the cloth manufacturing machine and on the software side, nVidia CUDA will be used to process the video in real time with an efficient neural network for fault detection process.
Who are your competitors ? How is your solution different
    There are many techniques used in Europe and America for Textile Cloth Fault Detection but this idea has not been implemented in Pakistan for mass production in textile industry.
Status: Approved
Entry Date & Time: 2017-11-30 (1307)