تفاصيل الوثيقة

نوع الوثيقة : مقال في مجلة دورية 
عنوان الوثيقة :
Vision Based Inspection System for Missing Footprint Detection on Printed Circuit Boards
Vision Based Inspection System for Missing Footprint Detection on Printed Circuit Boards
 
الموضوع : علوم حاسبات 
لغة الوثيقة : الانجليزية 
المستخلص : An automated visual inspection system is needed to inspect missing component footprints on bare Printed Circuit Board (PCB). Missing component footprints on the PCB will result in lack of electronic components. Since the surface of electronic products is more compact and complex, the inspection task has become more difficult in order to achieve the required quality of finished products. The general aim of this research is to develop a real time automated visual inspection system to identify missing footprints on PCB. The specific objectives are: to implement production rules and Fuzzy logic techniques for quality classification of footprints. An experimental setup for a real time AVIS which consists of hardware and software frameworks has been developed. The hardware framework included a web camera, four florescent lamps, a conveyor belt, and the software framework included Image Processing System (IPS). The Region of Interest (ROI) of the PCB would be transferred to IPS under suitable light and specific speed of conveyor belt. The footprints are segmented based on their coordination. Feature extraction will be accomplished to classify the uncompleted footprints on PCBs. Ultimately, the production rule, Mamdani, and Sugeno fuzzy classifiers are implemented to classify the footprints. The experimental result confirmed that the proposed AVIS has a high accuracy rate. 
ردمد : 1992-8645 
اسم الدورية : Journal of Theoretical and Applied Information Technology 
المجلد : 84 
العدد : 1 
سنة النشر : 1437 هـ
2016 م 
نوع المقالة : مقالة علمية 
تاريخ الاضافة على الموقع : Tuesday, March 8, 2016 

الباحثون

اسم الباحث (عربي)اسم الباحث (انجليزي)نوع الباحثالمرتبة العلميةالبريد الالكتروني
Anton Satria PrabuwonoSatria Prabuwono, Anton باحثدكتوراهantonsatria@eu4m.eu

الملفات

اسم الملفالنوعالوصف
 38360.pdf pdf 

الرجوع إلى صفحة الأبحاث