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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Similar Items