Towards Web-Based Automation: A Comparative Analysis of Feature Extraction Approaches and Applications for Quality Control

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Cheraghi Shiva; Chalechale Abdolah; Safari Faezeh

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2023 | Issue:9

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Title

Towards Web-Based Automation: A Comparative Analysis of Feature Extraction Approaches and Applications for Quality Control

Author(s)

Cheraghi Shiva | Chalechale Abdolah | Safari Faezeh

Keywords

Quality Control

Web-Based Automation

Image Processing

Feature Extraction

Defect Detection

Sentiment Analysis

Natural Language Processing

Abstract

In recent years, with the development of science and technology, the emerging competitive markets in various industries, and the need for Quality Control, quantitative and qualitative measurements of products' properties have become significantly important. Quality production is the most vital part of a production line in a way that a few factories exist, with some of their sectors not being controlled by intelligent Computer Vision (CV) and Image Processing systems. Accordingly, Real-time quality management can increase production efficiency. Moreover, quality management focuses on customer experience with agents and products. In this regard, Sentiment Analysis (SA) can also determine the success rate of services and products, identify customers' thoughts, and mirror their true voice. This paper aims to conduct a comparative analysis of Feature Extraction approaches used by CV and Natural Language Processing (NLP) for Quality Control of products and SA in the industry. These approaches and trends can further be integrated into Web-based Quality Control systems in industry. Therefore, this paper also investigates how such technologies can enhance Quality Control through large-scale textual and image data analytics.

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APA: Copy

Cheraghi, Shiva, Chalechale, Abdolah, & Safari, Faezeh. (). . . SID. https://sid.ir/paper/1046830/en

Vancouver: Copy

Cheraghi Shiva, Chalechale Abdolah, Safari Faezeh. . . Available from: https://sid.ir/paper/1046830/en

IEEE: Copy

Shiva Cheraghi, Abdolah Chalechale, and Faezeh Safari, “,” presented at the . , [Online]. Available: https://sid.ir/paper/1046830/en

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