| Author | Waranya Thiraputtipong |
| Note | A thesis submitted in partial fulfillment of the requirements for
the degree of Master of Engineering in Mechatronics, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | In the Head Gimbals Assembly (HGA), HSA and HDD assembly process, the purpose
of Optical Character Recognize (OCR) are to detect the slider tag character which refers
to the serial number of slider. OCR data is significantly important to the product quality
and lean manufacturing system which can trace the data history in Head OCR Serial
number Traceability system (HOST). In this research project, the problem of
unidentified and misidentified characters tag will be studied. The unidentified or
misidentified problem is caused by the blurred image and incoming defect on Slider
Tag but physical is good HGA.
To solve the problem, the mathematical models for the deblurring image and the blur
function will be literature studied. In the propose system, the primary key is the
Algorithm to enhance image defect case i.e. blurred, dark, bright, angle case etc. The
benefit of enhancement the blurred image system in the machine vision will perform to
read the slider tag number with higher reading accuracy and reduce the mixing product
problem by referring in serial number of serial number.
In summary, outcome of the algorithms, which is the program in Visual basic and Math
lab, make the decision for separating the case of image. The algorithm is not only
improve the reading performance, but also maintain the processing time of re-reading
OCR process. |
| Year | 2013 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Microelectronics (ME) |
| Chairperson(s) | Bohez, Erik L. J.; |
| Examination Committee(s) | Afzulpurkar, Nitin V.;Prasert Sutiposuwan; |
| Scholarship Donor(s) | Western Digital/HDDI-NECTEC-AIT Fellowship; |