Results 221 to 230 of about 122,426 (260)

Neural vision sensors for surface defect detection

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2005
Vision sensors are built from a camera and intelligent hardware and/or software. Steadily decreasing microelectronic costs have spawned a large number of vision sensory applications, such as surface defect detection. A constructive method for defect detection entails a mixture of mathematical and intelligent modules. Such a heterogeneous modular system
Suleyman Malki, Lambert Spaanenburg, Nick Ray   +2 more
openaire   +1 more source

Surface and internal defect detection

1998
This chapter deals with the detection of surface and internal defects on components and structures. To be able to use the component or structure after examination, obviously, the inspection should not affect the item involved, and must therefore be non-destructive.
G. Hands, T. Armitt
openaire   +1 more source

Morphological Detection and Extraction of Rail Surface Defects

IEEE Transactions on Instrumentation and Measurement, 2020
Rail inspection by means of a visual system has been a subject of a number of publications in recent years. The main requirements with regard to such a system are that it has to be fast, nondestructive, and accurate. This article presents a system for rail defect detection and shape extraction utilizing morphological operations.
openaire   +1 more source

A Visual Detection System for Rail Surface Defects

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 2012
Discrete surface defects are the most common anomalies of rails and they should be carefully inspected. However, it is a challenge to detect such defects in a vision system because of illumination inequality and the variation of reflection property of rail surfaces.
Qingyong Li, Shengwei Ren
openaire   +1 more source

ULTRASONIC DETECTION OF SURFACE-BREAKING RAILHEAD DEFECTS

AIP Conference Proceedings, 2008
We recently presented measurements of defects on the railhead, using a novel pitch‐catch ultrasonic system comprising of two electro‐magnetic acoustic transducers (EMATs) generating and detecting Rayleigh waves. Current systems used on the UK rail network for detecting surface breaking defects are limited in speed ( 5 mm).
Edwards, R. S., Holmes, C., Fan, Y., Papaelias, M., Dixon, S., Davis, C. L., Drinkwater, B. W., Roberts, C.   +7 more
openaire   +2 more sources

Defect Detection of Production Surface Based on CNN

2020
With the continuous development of artificial intelligence, great progress has been made in the field of object detection. Defect detection is a branch of the field of object detection, as long as the purpose is to locate and classify defects on the surface of objects to help people further analyze product quality.
Yi Sun, Yuexiao Cai, Yang Li 0122, Yunlong Zhao 0001   +3 more
openaire   +1 more source

A fast regularity measure for surface defect detection

Machine Vision and Applications, 2012
In this paper, we propose a fast regularity measure for defect detection in non-textured and homogeneously textured surfaces, with specific emphasis on ill-defined subtle defects. A small neighborhood window of proper size is first chosen and they slide over the entire inspection image in a pixel-by-pixel basis.
Du-Ming Tsai, Ming-Chun Chen, Wei-Chen Li, Wei-Yao Chiu   +3 more
openaire   +1 more source

Surface Defect Detection Using YOLO Network

2020
Detecting defects on surfaces such as steel, can be a challenging task because defects have complex and unique features. These defects occur in many production lines and vary from one production line to another. In order to detect these defects, the You Only Look Once (YOLO) detector which uses a Convolutional Neural Network (CNN), is used and received
Muhieddine Hatab, Hossein Malekmohamadi, Abbes Amira   +2 more
openaire   +2 more sources

Detection of defects on the surface of a semiconductor by terahertz surface plasmon polaritons

Applied Optics, 2016
We propose a new method for detecting small defects on the surface of a semiconductor by analyzing the transmission spectrum of terahertz surface plasmon polaritons. The field distributions caused by the detection of defects of different sizes are simulated.
Tao, Yang, Yuanyi, Li, Rayko, Stantchev, Yongyuan, Zhu, Yiqiang, Qin, Xinhui, Zhou, Wei, Huang   +6 more
openaire   +2 more sources

Multi-scale Defective Samples Synthesis for Surface Defect Detection

2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS), 2021
Zirong Liu, Zhihui Lai 0001, Can Gao
openaire   +1 more source