The prompt detection of early decay in the pavement could be an auspicious technique in
road maintenance. Admittedly, early crack detection allows preventive measures to be taken …

Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …

Objective. Computer vision-based up-to-date accurate damage classification and
localization are of decisive importance for infrastructure monitoring, safety, and the …

Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …

在半导体, PCB, 汽车装配, 液晶屏, 3C, 光伏电池, 纺织等行业中, 产品外观与产品性能有着千丝
万缕的联系. 表面缺陷检测是阻止残次品流入市场的重要手段. 利用机器视觉的技术进行检测 …

With the advancement of machine learning (ML) and deep learning (DL), there is a great
opportunity to enhance the development of automatic crack detection algorithms. In this …

Pavement crack detection is a critical task for insuring road safety. Manual crack detection is
extremely time-consuming. Therefore, an automatic road crack detection method is required …

Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …

Many municipalities and road authorities seek to implement automated evaluation of road
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …

This paper proposes an automatic crack detection, localization, and quantification method
using the integration of a faster region proposal convolutional neural network (Faster R …