Fall 2020 Challenge Spotlight: Circuit Board Imaging

One of our challenges this semester involves machine learning to help innovate the process of creating the latest technology! This challenge involves creating an automated process for a computer to accurately create the schematic of an electronic circuit board using only images of that board.

Circuit boards are the heart of the technology we use every day. Currently, schematics must be created manually and require a high amount of time and labor. With various images using a plethora of modalities including X-ray, scanning electron microscope, etc., a toolchain is required that can automatically combine different images of the same circuit board to develop a schematic. The challenge asks for solutions that involve any combination of compressed sensing or imaging, machine vision, optical character recognition, and shape analysis.

We are seeking students with an interest in this technology as well as anyone with backgrounds in:

  • Mechanical Engineering
  • Material Science Engineering
  • Civil Engineering
  • Computer Science Engineering
  • Electrical and Computer Engineering
  • Integrated Systems Engineering
  • Physics
  • Mathematics
  • Statistics

We are hoping to build an interdisciplinary team that can tackle this complex challenge and welcome any student who wishes to work on it. Sign up for PUBAFRS 5620, Rapid Innovation for Public Impact, that meets Fridays from 12-3 for a chance to contribute to the solution for this complex problem!

Note: this course has been used as a capstone substitute in many different colleges and can be done with approval depending on the problem worked on and the requirements of that college.