Syed Muhammad Hasan Naqvi
Core Skills
- Design Research
- Project Management
- Cross-functional Collaborations
- Human-Centered Design
- Google Sheets
- Cascading Style Sheets (CSS)
- Microsoft Office, Microsoft Excel
- Adobe Illustrator, Adobe InDesign
- Embedded Systems
- Python, C++, JavaScript
Academic Awards / Achievements
- Global Ugrad Exchange Program, Florida Gulf Coast University, Jan 2017 - May 2017
- Stanford Summer International Honours Program, June 2016 - Aug 2016
Experience
Leadership / Meta-curricular
- Participant, Big Data Predictive Analysis Workshop, July 2015 - Aug 2015
- Secretary, HUSC, March 2015 - Jan 2016
- Vice President, Pi Phi Society, Aug 2015 - March 2016
Internship / Volunteer Work
- Teaching Assistant, HU Computer Science Department, Aug 2015 - Dec 2015
Final Year Project
Project Title
Automatic Scratch Detection on Vehicle Assembly Line
Description
Precise detection of surface flaws, especially scratches and dents, is a difficult task for human vision. Our capstone design project is on the development of a low-cost system that uses vision algorithms to accurately identify scratches on a vehicle assembly line. The system can account for defects with random shapes, low contrast or that are obscured by the natural texture of the surface, whereas a robotic arm allows for movement of the camera system. A multi imaging setup allows to predict the exact source of the scratch. This work is being done in partnership with a local car manufacturing company and will help them add automated tools on their assembly line. This is a joint project with Saira Khan and Muhammad Ashir Wahid.