Fatemah Vazirribozorg
M.E. Student & Research Assistant
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Tennessee State University |
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Education:
•Bachelor of Engineering in Industrial Engineering at Iran University of Science & Technology, Iran ( January 2003)
Professional Experience:
•Research Assistant, Tennessee State University, Nashville, Tennessee (December 2009 - Till Date)
•Research Assistant, Vanderbilt University Medical Center, Nashville, Tennnessee (June 2005 - March 2007)
Project Scope:
Recent advances in Surface Inspection System (SIS) enable automatic and systematic inspection of quality manufactured products. SIS is intended for detection and assessment of extend of surface imperfections and defects. Conventional manual inspection tasks are very tedious tasks rely heavily on the human inspectors’ ability to detect surface imperfections consistently with high degree of confidence and reliability. On the other hand, the automatic visual inspection systems rely on accuracy of visual inspection algorithms and techniques to reliably detect and characterize the surface imperfections and defects. However, detecting, identifying and classifying surface anomalies according to given design requirements is very challenging. The goal of our research in the IMRL is to develop robust surface defect detection and classification techniques ensuring reliable delectability and correct assessment of surface conditions of complex manufactured products. Our research employs custom-made robust Image Processing techniques for detection and localization of surface irregularities. After the initial prescreening of the surface imperfections, the minor surface imperfections are rejected and remaining surface defects are further examined for identify the characteristic features of each surface defect and its pertinent attributes linking each surface defect to a class of known surface defects.
The key role of our research is to increase the accuracy and capabilities of the visual inspection system to perform correct identification and classification of pertinent surface flaws and characterize the surface condition of products based on their design requirements. Another aim of our research is to increase intuitiveness and user friendliness of the visual inspection system via intelligent software interfaces.
Research Applications:
Research Advisor:
Dr. Amir Shirkhodaie
Director, Center of Excellence for Battlefield Sensor Fusion
Tennessee State University
Dept. of Mechanical and Manufacturing Engineering
3500 John A. Merritt Blvd., Nashville, TN 37209
Tel: 615-963-5396
webpage contact:
ITMRL