utkarsh-ankit/Defect-Detection-of-PCB
A repository for creating a Deep Learning model for Defect Detection in PCBs and to design a Web Application for it.
This project helps quality control inspectors or manufacturing engineers quickly identify defects in Printed Circuit Boards (PCBs). You upload an image of a PCB, and the system tells you if it's 'good' or 'bad' based on detected flaws. It streamlines the inspection process for PCB fabrication.
No commits in the last 6 months.
Use this if you need a straightforward way to automate the visual inspection of PCB images for common manufacturing defects.
Not ideal if you require detailed categorization of defect types, precise defect localization, or analysis of very high-resolution PCB images.
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Jupyter Notebook
License
BSD-3-Clause
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Last pushed
Oct 21, 2021
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