Defect And Components Recognition In Printed Circuit Boards Using Convolution Neural Network
The growth of electronic devices increases the demands of printed circuit boards (PCB) productions in the electronic industries. This leads to the rise in the quantity of PCB productions every day. Consequently, automated visual inspection becomes an essential system to be equipped in any producti...
Saved in:
| Main Author: | |
|---|---|
| Format: | Monograph |
| Language: | en |
| Published: |
Universiti Sains Malaysia
2018
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/53328/1/Defect%20And%20Components%20Recognition%20In%20Printed%20Circuit%20Boards%20Using%20Convolution%20Neural%20Network_Cheong%20Leong%20Kean_E3_2018.pdf http://eprints.usm.my/53328/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|