This paper is published in Volume-8, Issue-3, 2022
Area
Image Processing For Industries
Author
Jhanavi Trilok, Shivkumar A., Dr. Babu Rao, Dr. S. Saravana Kumar
Org/Univ
CMR University, Chagalahatti, Karnataka, India
Pub. Date
18 June, 2022
Paper ID
V8I3-1406
Publisher
Keywords
Industry 4.0, Industrial Image Processing, Open CV, Machine Vision, Feature matching

Citationsacebook

IEEE
Jhanavi Trilok, Shivkumar A., Dr. Babu Rao, Dr. S. Saravana Kumar. Image Processing in Industry 4.0, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Jhanavi Trilok, Shivkumar A., Dr. Babu Rao, Dr. S. Saravana Kumar (2022). Image Processing in Industry 4.0. International Journal of Advance Research, Ideas and Innovations in Technology, 8(3) www.IJARIIT.com.

MLA
Jhanavi Trilok, Shivkumar A., Dr. Babu Rao, Dr. S. Saravana Kumar. "Image Processing in Industry 4.0." International Journal of Advance Research, Ideas and Innovations in Technology 8.3 (2022). www.IJARIIT.com.

Abstract

The world is moving rapidly towards establishing industry 4.0 in every field. The concept of industry 4.0 is to replace humans with Robots or Software bots to perform repetitive tasks and tasks that require a high amount of accuracy and speed. Industry 4.0 is achieved by connecting various machines that can communicate with each other to collect and analyze tremendous amounts of data. These machines are connected to a large number of high-precision sensors and actuators that can help to monitor, operate and manage various industrial processes in real-time. The use of machine learning and artificial intelligence has enabled machines to automate various processes that required manual labor and also to make accurate decisions without the need for any human intervention. Image Processing is a major component of Industry 4.0. The main objective of this paper is to understand the concept of image processing, and its application in the industry and to build a simple Machine Vision (MV) solution that uses image processing algorithms to detect an object irrespective of its orientation.