Open AccessA Review on Classification of Industrial Components using Image Processing and Machine Learning
Author(s) -
Poonam N. Gedam,
Prof. U. V. Hore
Publication year - 2022
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-2288
Subject(s) - safer , automation , robot , process (computing) , computer science , component (thermodynamics) , field (mathematics) , artificial intelligence , machine vision , key (lock) , risk analysis (engineering) , engineering management , engineering , computer security , mechanical engineering , medicine , physics , mathematics , pure mathematics , thermodynamics , operating system
Artificially intelligent robots have become increasingly important in Industrial Technology in recent years. The key thing that robots do today is to do difficult and time-consuming activities in an efficient manner. Many components or pieces of equipment are installed in any industry. Humans handle this equipment, and they frequently keep track of it by recognizing and classifying it for further action. This process takes a long time to complete because we have to visit each and every component, but it does not require human intervention. As a result, vision systems and Intelligent Robots are now used to perform these duties. This project focuses on finding a solution to this issue. We give a thorough view of these machine learning and image processing techniques in this research, which can be used to improve the intelligence and classification skills of numerous industrial elements. This paper proposes a solution for a hazardous industry that wishes to advance in the automation field in order to make the process safer and easier.