A new approach for detecting and grading blistering defect of coatings using a machine vision system

N Moradi, SG Kandi, H Yahyaei - Measurement, 2022 - Elsevier
Blistering is a frequent coating defect and is mostly assessed visually. In this research, a
new system including an image acquisition setup in ambient lighting, a new algorithm for …

FAECCD-CNet: Fast Automotive Engine Components Crack Detection and Classification Using ConvNet on Images

MA Berwo, Y Fang, J Mahmood, N Yang, Z Liu, Y Li - Applied Sciences, 2022 - mdpi.com
Crack inspections of automotive engine components are usually conducted manually; this is
often tedious, with a high degree of subjectivity and cost. Therefore, establishing a robust …

Novel method for failure modes detection in UV-cured clear coated polymer for automotive interior mechatronic devices

IC Braga, R Udroiu, A Nedelcu - Polymers, 2022 - mdpi.com
Plastic parts used in automotive interior are difficult to coat, due to their low surface energies
as well as their sensitivity to temperature and solvents, rendering the development of coating …

[HTML][HTML] AI-Driven Crack Detection for Remanufacturing Cylinder Heads Using Deep Learning and Engineering-Informed Data Augmentation

M Mohammadzadeh, GEO Kremer, S Olafsson… - Automation, 2024 - mdpi.com
Detecting cracks in cylinder heads traditionally relies on manual inspection, which is time-
consuming and susceptible to human error. As an alternative, automated object detection …

Classification of ToF-SIMS detected chemicals causing nearly 1000 automotive paint craters

HL Bloomfield, M Caverson, HY Nie - Journal of Coatings Technology and …, 2024 - Springer
When paint is applied to a substrate, the formation of paint craters is generally due to
dewetting caused by a low surface energy substance present, such as siloxanes or …

Detecting and classifying defects on the surface of water heaters: Development of an automated system

 Semitela, A Ferreira, A Completo… - Proceedings of the …, 2024 - journals.sagepub.com
Seeking a total automation of the existing industrial processes, manual product quality
control systems have been gradually replaced by automated ones, to significantly improve …

A robotics inspection system for detecting defects on semi-specular painted automotive surfaces

S Akhtar, A Tandiya, M Moussa… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
This paper describes the design and implementation of a real-time robotics system for semi-
specular/painted surface defect detection. The system can be used on moving parts, tolerate …

A Lightweight Model Solution for Aluminum Material Defect Detection at the Edge

Z Chen, J Liang, Y Zhang, J Wang… - 2024 IEEE 14th …, 2024 - ieeexplore.ieee.org
Defect detection models have been widely applied in industrial edge platform. However, in
the field of aluminum material defect detection still have some challenges:(i) limited …

Defect Detection in the Painting of Combustion Device Covers Using the Deflectometry Method and YOLOv8

J Silva, R Rito, A Completo, Â Semitela, L Rino… - EPIA Conference on …, 2024 - Springer
With the constant growth of competitiveness at an industrial level, the need for faster and
more precise processes arises. Currently, the key to success in the industry is the …

Ensemble Based Automotive Paint Surface Defect Detection Augmented By Order Statistics Filtering Using Machine Learning

AS Khan, MH Mehdi, R Uddin, AR Abbasi, K Nisar - Authorea …, 2023 - techrxiv.org
In automotive industry, the paint surface inspection process is still mainly performed by
manual methods based on subjective human vision system, which may not only be …