[HTML][HTML] State of the art in defect detection based on machine vision

Z Ren, F Fang, N Yan, Y Wu - International Journal of Precision …, 2022 - Springer
Abstract Machine vision significantly improves the efficiency, quality, and reliability of defect
detection. In visual inspection, excellent optical illumination platforms and suitable image …

A hierarchical training-convolutional neural network for imbalanced fault diagnosis in complex equipment

Y Gao, L Gao, X Li, S Cao - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Complex equipment is important in industry and fault diagnosis is a key technology for
maintenance. Convolutional neural network (CNN) is a common manner for fault diagnosis …

Tiny machine learning for high accuracy product quality inspection

A Albanese, M Nardello, G Fiacco… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The quality inspection of industrial products is a fundamental step in large-scale production
as it boosts the yield and reduces the costs. Intelligent embedded platforms with built-in tiny …

[HTML][HTML] Implementing circularity measurements in industry 4.0-based manufacturing metrology using MQTT protocol and Open CV: A case study

Y Saif, Y Yusof, AZM Rus, AM Ghaleb, S Mejjaouli… - Plos one, 2023 - journals.plos.org
In the context of Industry 4.0, manufacturing metrology is crucial for inspecting and
measuring machines. The Internet of Things (IoT) technology enables seamless …

[HTML][HTML] An automatic visual inspection of oil tanks exterior surface using unmanned aerial vehicle with image processing and cascading fuzzy logic algorithms

MAH Ali, M Baggash, J Rustamov, R Abdulghafor… - Drones, 2023 - mdpi.com
This paper presents an automatic visual inspection of exterior surface defects of oil tanks
using unmanned aerial vehicles (UAVs) and image processing with two cascading fuzzy …

[HTML][HTML] Advancements in roundness measurement parts for industrial automation using internet of things architecture-based computer vision and image processing …

Y Saif, AZM Rus, Y Yusof, ML Ahmed, S Al-Alimi… - Applied Sciences, 2023 - mdpi.com
In the era of Industry 4.0, the digital capture of products has become a critical aspect, which
prompts the need for reliable inspection methods. In the current technological landscape …

Circle detection with model fitting in polar coordinates for glass bottle mouth localization

X Zhou, Y Wang, Q Zhu, H Zhang, Q Chen - The International Journal of …, 2022 - Springer
Glass bottle mouth localization is an essential procedure for quality inspection based on
machine vision. However, the real center of the bottle mouth is difficult to detect with …

Defect detection of glassivation passivation parts wafer surface with random texture and different brightness

C Meng, F Hao, P Li, J Shi - Measurement Science and …, 2023 - iopscience.iop.org
Automatic defect detection for glassivation passivation parts (GPP) wafer surface becomes
an extremely challenging task, due to the interference of random texture, disturbance of low …

An optimized digital image processing algorithm for digital oil painting

J Tang - Mobile Information Systems, 2022 - Wiley Online Library
Human civilization's accomplishments have grown with the passage of time and the
advancement of society. With the fast growth of computer networks and information …

Development of an autonomous robotics platform for road marks painting using laser simulator and sensor fusion technique

MAH Ali, M Mailah, K Moiduddin, W Ameen… - Robotica, 2021 - cambridge.org
The design and experimental works of an autonomous robotic platform for road marks
painting are presented in this paper as the first autonomous system of its kind. The whole …