Machine learning–based automated image processing for quality management in industrial Internet of Things
The aim of this article is to automate quality control once a product, essentially a central processing unit system, is manufactured. Creating a model that helps in quality control, increases efficiency and speed of production by rejecting abnormal products automatically is vital. A widely used tech...
Saved in:
Main Authors: | Nematullo Rahmatov, Anand Paul, Faisal Saeed, Won-Hwa Hong, HyunCheol Seo, Jeonghong Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-10-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147719883551 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
APPLICATION OF THE INTERNET OF THINGS IN PHARMACEUTICAL INDUSTRY SUPPLY CHAINS
by: N. Yu. Barkova, et al.
Published: (2019-10-01) -
Analysis of innovative technologies in industry: the blockchain and the internet of things
by: P. A. Drogovoz, et al.
Published: (2019-04-01) -
Security of the industrial Internet of things and localization of the core technology
by: Guangnan NI
Published: (2018-06-01) -
Wireless channel and noise characteristics in industrial internet of things
by: Ke ZHANG, et al.
Published: (2018-08-01) -
Survey of identity resolution system in industrial Internet of things
by: Yuzheng REN, et al.
Published: (2019-11-01)