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

Ceramic material is a commonly used material with high mechanical properties such as high
hardness, high wear resistance, corrosion resistance and high temperature resistance. It has …

Recent efforts to create a smart factory have inspired research that analyzes process data
collected from Internet of Things (IOT) sensors, to predict product quality in real time. This …

Crack detection for concrete pavement is an important and fundamental task to ensure road
safety. However, automatic crack detection is a challenging topic due to the complicated …

Anomaly detection (AD) aims to address the task of classification or localization of image
anomalies. This paper addresses two pivotal issues of reconstruction-based approaches to …

Large-scale data with human annotations is of crucial importance for training deep
convolutional neural network (DCNN) to ensure stable and reliable performance. However …

In this paper, the unsupervised autoencoder learning for automated defect detection in
manufacturing is evaluated, where only the defect-free samples are required for the model …

Vision-based crack detection is of crucial importance in various industries, and it is very
challenging due to weak signals in noisy backgrounds. In this paper, we propose a novel …

摘要为满足智能制造企业对产品质量检测的需求, 服务制造企业生产管理,
对缺陷检测技术的研究现状, 典型方法和应用进行梳理. 首先总结了磁粉检测法, 渗透检测法 …

Surface defect detection is very important to guarantee the quality of ceramic tiles
production. At present, this process is usually performed manually in the ceramic tile …