Anomaly detection for X-ray of PCB & IC images

This project investigates the use of deep learning models for defect detection in printed circuit boards and integrated circuits using YOLOv9. We developed a customized neural network model that take binary mask images and identifies defects in each image. The methodology included converting the dat...

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Bibliographic Details
Main Author: Heng, Daryl Ew-Jynn
Other Authors: Wen Bihan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177102
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Institution: Nanyang Technological University
Language: English
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