Abstract:
Knitting is the process where a continuous length of yarn/thread is converted into intermeshed loops either by hand or by machine to form a cloth. The process is not 100% effective, defects normally occur which pails the clean & uniform appearance of the fabric. As a quality control measure, an effective monitoring is achieved by online or offline inspection.
For offline inspection, quality tools Such as Pareto chart; Flow chart; Cause and Effect Diagram; Scatter Diagram; and Control Charts, have been used to boost quality by experts.
Therefore, Human experts for knitted fabric inspection remain an important way to classify and diagnose the faults. The fault tolerance level fixed by each expert in some cases is subjective because it is often based only on the level of expertise and not on fault size and gravity. Even though, the defects are detected, the trail to find the causes is done by experts who are virtually unrealistic if not expensive. If there was a way to make an error free informative expertise available to all inspectors in time of immediate need, then
production and quality would be boosted.
This research aims at developing a mobile application that addresses the above problem by availing images of related faults, causes and solution of various knit fabric faults on android mobile platform. The work is arranged in four chapters, Chapter one includes the introduction of a mobile based informative expert system on android mobile platform. Chapter two di cusses the literature related to the system, Chapter three illustrates the methodologies used in coming up with the working application of the system, Chapter four includes results and discussion of the system design and analysis, and chapter five contains the summary of the work, discussions and recommendations.
A complete and finished application plus all files used during construction of this project application are burned (stored) onto a CD attached with this report book for further reference.
