Modern inspection systems based on smart sensor technology like image processing and
machine vision have been widely spread into several fields of industry such as process control…

License plate recognition is an active research field as demands sharply increase with the
development of Intelligent Transportation System (ITS). However, since the license plate …

Vision-based systems for finding road lanes have to operate robustly under a wide variety of
environmental conditions including large amount of scene clutters. This paper presents a …

This paper describes a novel non-contact strain measurement method defined as deep
learning based on digital image correlation (DDIC). In particular, it is very difficult to measure …

In this paper, we propose a convolutional neural network (CNN) based method that inspects
non-patterned welding defects (craters, pores, foreign substances and fissures) on the …

People have a growing interest for driver assistant systems that are used to monitor the
driving conditions by visual technique, and warn and guide drivers the road conditions. This …

Defect detection on an object surface is one of the most important tasks of an automated visual
inspection system. The most modern defect detection systems are required to operate in …

This paper proposes a three-level framework to detect texts in a single image. First, a salient
feature map of text is extracted using a Fully Convolutional Network (FCN) that achieves …

This paper proposes a new method for measuring strain during a tensile test of the specimen
with micrometre size through direct imaging. A specimen was newly designed for adoption …

This paper introduces a new objective-driven design method based on deep learning for
meta-structure absorber for X-band (8–12 GHz) application. The method consists of three steps; …