The main objective of this project is to let students apply the image processing techniques that been taught in class in a given conditions based on their title. This particular project involved the ...
The original dataset from Peking University contains 693 images with labels in the form of bounding boxes and classifications. The images were not of uniform sizes, and the annotations were in XML ...
This project code is forked from https://github.com/DetectionTeamUCAS/FPN_Tensorflow. I have only made minor changes on this wonderful and clear project. Thanks for ...
Abstract: To tackle the challenges of low detection accuracy and complex detection difficulty associated with surface defects on PCB, this paper introduces a surface defect detection algorithm for PCB ...
Abstract: Real-time accurate defect detection presents a critical bottleneck in high-throughput Printed Circuit Board Assembly (PCBA) manufacturing. Although contemporary state-of-the-art (SOTA) ...
This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...
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