Industry 4.0: Intelligent Quality Control and Surface Defect Detection

نویسندگان

چکیده

Quality Control (QC) has recently emerged as a significant global trend among manufacturers, adopting intelligent manufacturing practices in view of Industry 4.0 requirements. Intelligent is the process enhancing production through use cutting-edge technologies, sensor integration, analytics, and Internet Things (IoT). The proposed paper mainly focuses on study scope evolution quality control techniques from conventional to approaches along with state art technologies place. challenges faced building QC systems, terms security, system Interoperability, Humanrobot collaboration, are highlighted. Surface defect detection evolved critical application modern setups ensure high-quality products high market demand. Further, recent trends issues involved surface using discussed. methodology implementing cement wall surfaces Haar Cascade Classifier

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Toward Intelligent Software Defect Detection

Source code level software defect detection has gone from state of the art to a software engineering best practice. Automated code analysis tools streamline many of the aspects of formal code inspections but have the drawback of being difficult to construct and either prone to false positives or severely limited in the set of defects that can be detected. Machine learning technology provides th...

متن کامل

Intelligent Control Algorithms in Power Industry

Nowadays more and more attention is given to energy development problems. Modern ways of producing energy are bounded by planet’s resources of coal, natural gas and petroleum, and harmful effects of waste produced by energy industry forced the increasing growth of alternate ways of energy development, such as wind farms, geothermal and solar energy, etc. The article considers a solution the pro...

متن کامل

Surface Defect Detection with Histogram - Based

In this paper the performance of two histogram-based texture analysis techniques for surface defect detection is evaluated. These techniques are the co-occurrence matrix method and the local binary pattern method. Both methods yield a set of texture features that are computed from a small image window. The unsupervised segmentation procedure is used in the experiments. It is based on the statis...

متن کامل

Intelligent Machine Vision System for Automated Quality Control in Ceramic Tiles Industry

Original scientific paper Intelligent system for automated visual quality control of ceramic tiles based on machine vision is presented in this paper. The ceramic tiles production process is almost fully and well automated in almost all production stages with exception of quality control stage at the end. The ceramic tiles quality is checked by using visual quality control principles where main...

متن کامل

Designing an Intelligent Intrusion Detection System in the Electronic Banking Industry Using Fuzzy Logic

One of the most important obstacles to using Internet banking is the lack of Stability of transactions and some misuse in the course of transactions it is financial. That is why preventing unauthorized access Crime detection is one of the major issues in financial institutions and banks. In this article, a system of intelligence has been designed that recognizes Suspicious and unusual behaviors...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: 3C Empresa

سال: 2022

ISSN: ['2254-3376']

DOI: https://doi.org/10.17993/3cemp.2022.110250.214-220