PySolderInspect DL

Solder Defect Detection Application on Printed Circuit Board (PCB) Based on Deep Learning

PySolderInspect DL is a Deep Learning-based application designed to automatically detect solder defects on Printed Circuit Boards (PCBs). The app uses a special camera and supporting hardware to capture images of the PCB, then analyzes the solder results to detect any damage or defects, such as opens, short circuits, or excessive solder thickness. With a user-friendly interface, users can perform inspections efficiently, reducing time and potential errors in manual checking. This application is expected to help improve the quality of electronics production by maintaining high visual inspection standards.

Example Detection on Reject Sample

Example Detection on Good Sample

How to Install

Full documentation can be read from docs folder

Note: PCB Inspection software runs on Windows 10 and uses Python 3.9

Install Basler camera software suit windows

Install Edge TPU runtime

Install the PyCoral

python3 -m pip install --extra-index-url https://google-coral.github.io/py-repo/ pycoral~=2.0

Install the PyPylon, Tkinter, and OpenCV

pip install pypylon tk opencv-python

Install the opencv library :

pip install opencv-python