The amalgamation of the object detection and semantic segmentation for steel surface defect detection

M Sharma, J Lim, H Lee - Applied Sciences, 2022 - mdpi.com
Steel surface defect detection is challenging because it contains various atypical defects.
Many studies have attempted to detect metal surface defects using deep learning and had …

Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process

J Obregon, J Hong, JY Jung - Journal of Manufacturing Systems, 2021 - Elsevier
Manufacturing quality control (QC) in plastic injection moulding is of the upmost importance
since almost one third of plastic products are manufactured via the injection moulding …

An intelligent method for detecting surface defects in aluminium profiles based on the improved YOLOv5 algorithm

T Wang, J Su, C Xu, Y Zhang - Electronics, 2022 - mdpi.com
In response to problems such as low recognition rate, random distribution of defects and
large-scale differences in the detection of surface defects of aluminum profiles by other state …

Development of a quality prediction algorithm for an injection molding process considering cavity sensor and vibration data

J Kim, JY Lee - International Journal of Precision Engineering and …, 2023 - Springer
This research develops a neural-network algorithm for predicting the quality levels of
injection molding products to handle quality regarding problems. The main objective of this …

Two-stream network one-class classification model for defect inspections

S Lee, C Luo, S Lee, H Jung - Sensors, 2023 - mdpi.com
Defect inspection is important to ensure consistent quality and efficiency in industrial
manufacturing. Recently, machine vision systems integrating artificial intelligence (AI)-based …

Robot target location based on the difference in monocular vision projection

Z Zheng, Y Li, D Chen, L Wang, J Ju, Q Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
Visual guidance is widely used in industrial robots. At present, the traditional method of
template matching and positioning is often used in industrial robots under monocular vision …

Segmentation of drilled holes in texture wooden furniture panels using deep neural network

R Augustauskas, A Lipnickas, T Surgailis - Sensors, 2021 - mdpi.com
Drilling operations are an essential part of furniture from MDF laminated boards required for
product assembly. Faults in the process might introduce adverse effects to the furniture …

IIoT Monitoring System for Injection Plastic Molding Controllers

O Veligorskyi, R Chakirov… - … Conference on Emerging …, 2024 - ieeexplore.ieee.org
Injection plastic moulding is a leading technology of plastic parts on a mass production
scale. Intelligent features, implemented on edge or cloud level, can significantly extend the …

Estimation of Time Series Databases Performance in Cloud Applications for Plastic Moulding Industry

O Veligorskyi, R Chakirov… - … Conference on Electrical …, 2024 - ieeexplore.ieee.org
This paper describes the approach for performance estimation of data queries in time series
databases, implemented for the remote monitoring and control of injection plastic moulding …

Real‐Time Detection of Linear Structure Objects Using Mean Shift Segmentation and Heuristic Search

H Cai, L Zou, P Lv, L Ran - Mathematical Problems in …, 2021 - Wiley Online Library
With the development of intelligent industrial production, industrial components with linear
structure tend to be regular, such as TV LCD module, mobile phone screen, and electronic …