Automated brand inspection of plastic IC packages through computer vision using neural network
Clicks: 3
ID: 286716
1995
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
0.6
/100
3 views
2 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #3,269 of 3,757 articles by views in Malay Journal
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The study is made to investigate the industrial applicability and performance of neural network-based computer vision system designed for inspection of actual brand images marked on top of IC packages. There were three devices considered in this thesis based on the limited and controlled number of these units provided by the company. Using the available limited samples of devises, brand names were captured using a camera and processed in the neural network using various representations to investigate thoroughly the effect of neural network parameters to network performance. As a result, using the neural network technique trained by backpropagation in brand defect recognition proved to be very effective within the scope and limitations of the concluded study.
| Reference Key |
persistent_1760659428_68f187e450a01
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Arciaga, Generoso A. |
| Journal | Malay Journal |
| Year | 1995 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.