CNN-Based Defect Inspection for Injection Molding Using Edge Computing and Industrial IoT Systems
Currently, the development of automated quality inspection is drawing attention as a major component of the smart factory. However, injection molding processes have not received much attention in this area of research because of product diversity, difficulty in obtaining uniform quality product imag...
Main Authors: | Hyeonjong Ha, Jongpil Jeong |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/14/6378 |
Similar Items
-
Injection molding : technology and fundamentals /
by: 502074 Kamal, Musa R., et al.
Published: (2009) -
Thermoelasticity of Injection-Molded Parts
by: Janez Turk, et al.
Published: (2023-06-01) -
Injection molds and molding :
by: 179539 Dym, Joseph B.
Published: (1987) -
Gastrow injection molds : 130 proven designs
by: 360320 Gastrow, Hans, et al.
Published: (c200) -
Dual-Kernel-Based Aggregated Residual Network for Surface Defect Inspection in Injection Molding Processes
by: Hwaseop Lee, et al.
Published: (2020-11-01)