Saira Khan

Saira Khan

Class of 2018
BS Electrical Engineering

Core Skills

  • Public Speaking
  • Interpersonal Skills
  • Communication
  • Matlab Simulink
  • Microsoft Office: Word, Excel, PowerPoint
  • canva
  • C++
  • Python
  • Team Leadership
  • Engineering Management

Academic Awards / Achievements

  • Third Design Award, Design Intensive Workshop, Aug 2017

Experience

Leadership / Meta-curricular

  • Treasurer, HU Student Government, Jan 2016 - Jan 2017

Internship / Volunteer Work

  • Intern, Maple Software, July 2017 - April 2018
  • Intern, Integrated Dynamics , June 2017 - July 2017

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 for predicting 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 to their assembly line. This is a joint project with Muhammad Ashir Wahid and Syed Muhammad Hasan Naqvi.

Project Pictures