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| 題 名 | 利用智慧影像辦視輔助生產加工良率檢測:以大理石瑕疵檢測為例=Data Analysis for Marble Defect Detection: Taking the First Step towards Intelligent Processing Using Deep Learning |
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| 作 者 | 顏駿葳; 楊至中; | 書刊名 | 大數據應用與管理 |
| 卷 期 | 4 2024.12[民113.12] |
| 頁 次 | 頁13-18 |
| 分類號 | 312.837 |
| 關鍵詞 | 電腦視覺; 深度學習; 大理石瑕疵檢測; 智慧製造; 自動化; Computer vision; Deep learning; Marble defect detection; Smart manufacturing; Automation; |
| 語 文 | 中文(Chinese) |
| 中文摘要 | 本論文將探討並實作「結合電腦視覺與深度學 習的大理石瑕疵檢測」系統。隨著人工智慧逐步融 入各個領域,如智慧醫療、智慧金融等,製造產業 也開始大規模採用這些技術來提升效能與智慧製造 等自動化的水平。作為傳統產業鏈中的一環的大理 石加工產業也不例外。為了提升檢測效率與準確 性,本研究設計了一套基於電腦視覺與深度學習的 大理石瑕疵辨識系統,並成功達到了極高的辨識準 確率。本研究不僅開發並提供了一套便利的辨識系 統,更為使用者(例如廠家)大幅縮短檢核材料的時 間,期許能夠推動業界在石材加工的智慧化進程, 邁向更高效、更智能的未來。 |
| 英文摘要 | This paper will explore and implement a "Marble Defect Detection System Combining Computer Vision and Deep Learning." As artificial intelligence gradually integrates into various fields such as smart healthcare and smart finance, the manufacturing industry has also begun to adopt these technologies on a large scale to enhance efficiency and the level of automation in smart manufacturing. The marble processing industry, as part of the traditional industrial chain, is no exception. To improve detection efficiency and accuracy, this study designs a marble defect recognition system based on computer vision and deep learning, successfully achieving a very high recognition accuracy. This research not only develops and provides a convenient recognition system but also significantly reduces the time users (such as manufacturers) spend inspecting materials. It is hoped that this will promote the intelligent transformation of the stone processing industry, leading to a more efficient and smarter future. |
本系統中英文摘要資訊取自各篇刊載內容。