Add to ORKGIn traditional industrial manufacturing, due to the limitations of science and technology, manual inspection methods are still used to detect product surface defects. This method is slow and inefficient due to manual limitations and backward technology. The aim of this thesis is to research whether it is possible to automate this using modern computer hardware and image classification of defects using different deep learning methods. The report concludes, based on results from controlled experiments, that it is possible to achieve a dice coefficient of more than 81%.
Machine and Deep Learning are two hot topics these days. Their performance levels have matched at so...
Ensuring the highest quality standards at competitive prices is one of the greatest challenges in th...
In manufacturing a product, product defects occur at several stages. This study makes the case that ...
In traditional industrial manufacturing, due to the limitations of science and technology, manual in...
The introduction of robots and automation in industrial processes brought many benefits to manufactu...
In this thesis we conclude that convolutional neural networks, together with phase-measuring deflect...
In this thesis we conclude that convolutional neural networks, together with phase-measuring deflect...
In this thesis we conclude that convolutional neural networks, together with phase-measuring deflect...
Over the last few decades, detecting surface defects has attracted significant attention as a challe...
In this thesis we conclude that convolutional neural networks, together with phase-measuring deflect...
In industrial processes, products are often visually inspected for defects inorder to verify their q...
In industrial processes, products are often visually inspected for defects inorder to verify their q...
In industrial processes, products are often visually inspected for defects inorder to verify their q...
The detection of product defects are crucial in internal control in manufacturing. This study survey...
The detection of product defects are crucial in internal control in manufacturing. This study survey...
Machine and Deep Learning are two hot topics these days. Their performance levels have matched at so...
Ensuring the highest quality standards at competitive prices is one of the greatest challenges in th...
In manufacturing a product, product defects occur at several stages. This study makes the case that ...
In traditional industrial manufacturing, due to the limitations of science and technology, manual in...
The introduction of robots and automation in industrial processes brought many benefits to manufactu...
In this thesis we conclude that convolutional neural networks, together with phase-measuring deflect...
In this thesis we conclude that convolutional neural networks, together with phase-measuring deflect...
In this thesis we conclude that convolutional neural networks, together with phase-measuring deflect...
Over the last few decades, detecting surface defects has attracted significant attention as a challe...
In this thesis we conclude that convolutional neural networks, together with phase-measuring deflect...
In industrial processes, products are often visually inspected for defects inorder to verify their q...
In industrial processes, products are often visually inspected for defects inorder to verify their q...
In industrial processes, products are often visually inspected for defects inorder to verify their q...
The detection of product defects are crucial in internal control in manufacturing. This study survey...
The detection of product defects are crucial in internal control in manufacturing. This study survey...
Machine and Deep Learning are two hot topics these days. Their performance levels have matched at so...
Ensuring the highest quality standards at competitive prices is one of the greatest challenges in th...
In manufacturing a product, product defects occur at several stages. This study makes the case that ...