This paper presents a vision-based ladle monitoring system for steel factories, consisting of two modules: one for ladle surface temperature analysis using thermal cameras and another for deep learning-based detection and recognition of ladle identification numbers. The first module monitors ladle thermal behavior by capturing high-resolution thermal images and employing advanced image analysis techniques. This enhances safety and efficiency in steel production. The second module focuses on digit recognition on the ladle surface, providing crucial identification and tracking information. A robust deep learning model trained on a large dataset of thermal camera images achieves high accuracy in ladle identification. The proposed system integrates thermal cameras and advanced image analysis techniques, offering real-time monitoring, early anomaly detection, and accurate ladle identification. Experimental evaluations demonstrate its effectiveness, indicating its potential for practical implementation in steel factory environments.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Vision-Based Ladle Monitoring System for Steel Factories


    Additional title:

    Lect.Notes Mechanical Engineering



    Conference:

    European Symposium on Artificial Intelligence in Manufacturing ; 2023 ; Kaiserslautern, Germany September 19, 2023 - September 19, 2023



    Publication date :

    2024-06-27


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Ladle and steel ladle tipping device

    GUO JIANKANG / TAO JIAN / LING YUN | European Patent Office | 2015

    Free access

    Ladle health monitoring system based on LabVIEW

    Chang, Wenjun / Sun, Ying / Li, Gongfa et al. | British Library Online Contents | 2018


    Steel ladle jacking mechanism

    ZHAO HONGJUN / TIAN HANGLIANG / SHI QIUQIANG | European Patent Office | 2021

    Free access

    Floating factories - a vision of the future

    Allen, J. | Tema Archive | 1982


    Digital Factories. Foster new vision of manufacturing

    Dvorak,P. | Automotive engineering | 2000