EDRNet: Encoder–decoder residual network for salient object detection of strip steel surface defects

G Song, K Song, Y Yan - IEEE Transactions on Instrumentation …, 2020 - ieeexplore.ieee.org
It is still a challenging task to detect the surface defects of strip steel due to its complex
variations, including variable defect types, cluttered background, low contrast, and noise …

A surface defect detection framework for glass bottle bottom using visual attention model and wavelet transform

X Zhou, Y Wang, Q Zhu, J Mao, C Xiao… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Glass bottles must be thoroughly inspected before they are used for packaging. However,
the vision inspection of bottle bottoms for defects remains a challenging task in quality …

Multistep dynamic slow feature analysis for industrial process monitoring

X Ma, Y Si, Z Yuan, Y Qin… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multivariate statistical process monitoring has been widely used in industry. However,
traditional algorithms often ignore the dynamic characteristics of actual industry process …

Automated visual inspection of glass bottle bottom with saliency detection and template matching

X Zhou, Y Wang, C Xiao, Q Zhu, X Lu… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Glass bottles are widely used as containers in the food and beverage industry, especially for
beer and carbonated beverages. As the key part of a glass bottle, the bottle bottom and its …

Research on computer vision enhancement in intelligent robot based on machine learning and deep learning

Y Ding, L Hua, S Li - Neural Computing and Applications, 2022 - Springer
The stable operation of intelligent robots requires the effective support of machine vision
technology. In order to improve the effect of robot machine vision recognition, based on …

State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions

E Gholipour, A Bastas - Journal of Intelligent Manufacturing, 2023 - Springer
Neural network applications, as an emerging machine learning technology, are increasingly
being integrated into pharmaceutical manufacturing technologies, offering significant …

Virtually Possible: Enhancing Quality Control of 3D-Printed Medicines with Machine Vision Trained on Photorealistic Images

S Sun, ME Alkahtani, S Gaisford, AW Basit, M Elbadawi… - Pharmaceutics, 2023 - mdpi.com
Three-dimensional (3D) printing is an advanced pharmaceutical manufacturing technology,
and concerted efforts are underway to establish its applicability to various industries …

Deep multimodel cascade method based on CNN and random forest for pharmaceutical particle detection

H Zhang, M Zhao, L Liu, H Zhong… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The quality detection of pharmaceutical liquid products is inevitable and crucial in drug
manufacture because drugs contaminated with foreign particles are definitely not to be used …

A machine learning-based approach for counting blister cards within drug packages

M Bahaghighat, L Akbari, Q Xin - IEEE Access, 2019 - ieeexplore.ieee.org
Nowadays with the rapid development of technologies, machine vision has been used
widely in various industries. The main applications of machine vision in industrial product …

Metal Particle Detection Methods and Their Use for Freeze-Dried Vaccine Inspection: A Review

JB Jedlicki, D Tellbach, B Subirana - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
We establish a set of metal particle detection methods that are suitable for automated
inspection of freeze-dried vaccines. We first identify the requirements for freeze-dried …