Project Description:
We are the team of PCB Reverse Engineering with 2 ECE members. Our goal is to develop a software tool that when supplied with images of a printed circuit board will reverse engineer the netlist for the board. The software will be implemented as a web based service allowing for users to publish the netlist that they generate. This web page will be available to the engineering community for prolonging the life of old equipment as well as documenting systems for repair to reduce waste. Integrating Computer Vision & Deep Learning to the software, this project is aimed to provide precision and reliability without compromises.
Project Team Member(s):
Khanin Udomchoksakul
Christopher Maciel
College of Engineering Unit(s):
Electrical Engineering and Computer Science
Undergraduate Project
Project Website(s):
Project ID:
EECS30
