Real-Time Quality Control of Heat Sealed Bottles Using Thermal Images and Artificial Neural Network
Quality control of heat sealed bottles is very important to minimize waste and in some cases protect people’s health. The present paper describes a case study where an automated non invasive and non destructive quality control system was designed to assess the quality of the seals of bottles contain...
Main Authors: | Samuel Cruz, António Paulino, Joao Duraes, Mateus Mendes |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Journal of Imaging |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-433X/7/2/24 |
Similar Items
-
Ascending thermal localization and its strongest zone centering by artificial neural networks
by: Ivan Suzdalev, et al.
Published: (2011-04-01) -
Prediction of Layered Thermal Conductivity Using Artificial Neural Network in Order to Have Better Design of Ground Source Heat Pump System
by: Yanjun Zhang, et al.
Published: (2018-07-01) -
Fire Detection in Video Stream by Using Simple Artificial Neural Network
by: Peter Janku, et al.
Published: (2018-12-01) -
Comparison of the Experimental and Predicted Data for Thermal Conductivity of Fe3O4/water Nanofluid Using Artificial Neural Networks
by: Reza Aghayari, et al.
Published: (2016-07-01) -
Experiment and Artificial Neural Network Prediction of Thermal Conductivity and Viscosity for Alumina-Water Nanofluids
by: Ningbo Zhao, et al.
Published: (2017-05-01)