This paper presents the state of the current activities to develop a high-speed inspection system for evaluating rail defects. Since conventional contact ultrasonic techniques are speed limited, the aim was to build an automatic inspection system, which applies non-contact ultrasonic methods. An automatic Laser Ultrasonic system for Rail Inspection (LURI) has been developed and tested on a rail...

Software inspection is well-known as an e ective means of defect detection. Recent research in inspection has considered the application of tool support, with the intention of further improving inspection e ciency. An expensive component of the inspection process is the group meeting, where individual defect lists are collated into a single master list. Performing this collation automatically c...

In this paper we present an Automatic Optical Inspection system to diagnose Printed Circuit Boards mounted in Surface Mounting Technology. The diagnosis task is handled as a classification problem with a neural network approach. The Printed Circuit Board tested images are preprocessed by means of several methods to reduce the amount of data to feed to the neural networks. We compare the results...

Lime ball quality inspection is an important task in the pulp and paper industry. In this paper a new method, build-up on a neural network and a path search method, is introduced for lime ball automatic visual inspection. Several correction steps to Landau's method are also introduced.

Broken ends, missing picks, oil stain and holes are the most common fabric defects. To deal with the situation that manual fabric detection will affected by the subjective factors of inspectors, an automatic computer vision based fabric defect detection method is introduced in this paper. The system uses threshold segmentation method to identify if there are any defects existed in the fabric, a...

In the bridge inspection, the information of cracks is important to maintain a bridge. Therefore, automatic crack detection is highly desirable for efficiency and objectivity of crack assessment. However, in general, it is very difficult to detect cracks automatically from noisy concrete surfaces. In this paper, we propose a machine vision system for automatic inspection of bridges. The propose...

The needs for accurate and efficient object localization prevail in many industrial applications, such as automated visual inspection and factory automation. Image reference approach is very popular in automatic visual inspection due to its general applicability to a variety of inspection tasks. However, it requires very precise alignment of the inspection pattern in the image. To achieve very ...

Automatic visual inspection is one of the primary applications of computer vision. Machine vision inspection requires efficient processing time and accurate results. In order to achieve efficiency and accuracy with a reasonable cost , it is important to choose the right architecture of the system.The paper presents the choices and a concrete architecture of a module ,with some aspects regarding...

Lime granule quality inspection is an important task in the pulp and paper industry. In this paper a new method, build-up on a neural network and a path search method, is introduced for lime granule automatic visual inspection. Several correction steps to Landau’s method are also introduced.

Bridge inspection is a pathway to bridge condition rating assessment, and is an essential element of any bridge management system (BMS). The success of a BMS is highly dependent on the quality of bridge inspection outcomes and accurate estimation of future bridge condition ratings. However, existing visual bridge inspection methods suffer several limitations due to human subjective judgment. In...