Industrial scene recognition application based on machine vision

This article discusses the application of machine vision technology in industrial scene recognition. The research uses deep learning algorithms, combined with computer vision technology, to build a scene recognition system suitable for complex industrial environments. The system can effectively identify equipment, products and potential safety hazards in industrial environments, providing strong support for industrial automation and smart manufacturing. Extensive experiments and real-world case studies demonstrate the system's high recognition accuracy, real-time performance, and practical value across various industrial scenarios.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3711129.3711175
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Industrial scene recognition application based on machine vision

Shuangshuang Li
Industrial Vision Systems and Defect Detection
article

Industrial scene recognition application based on machine vision

Shuangshuang Li
article en

Abstract

This article discusses the application of machine vision technology in industrial scene recognition. The research uses deep learning algorithms, combined with computer vision technology, to build a scene recognition system suitable for complex industrial environments. The system can effectively identify equipment, products and potential safety hazards in industrial environments, providing strong support for industrial automation and smart manufacturing. Extensive experiments and real-world case studies demonstrate the system's high recognition accuracy, real-time performance, and practical value across various industrial scenarios.

Weifang University of Science and Technology (CN)
Openalex Percentile: Top 59%
Industrial Vision Systems and Defect Detection
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Industrial scene recognition application based on machine vision — Shuangshuang Li · (2024) | TGRS Research Map | TGRS