Automatic Asbestos Control Using Deep Learning Based Computer Vision System

The paper discusses the results of the research and development of an innovative deep learning-based computer vision system for the fully automatic asbestos content (productivity) estimation in rock chunk (stone) veins in an open pit and within the time comparable with the work of specialists (about...

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Auteurs principaux: Vasily Zyuzin, Mikhail Ronkin, Sergey Porshnev, Alexey Kalmykov
Format: article
Langue:EN
Publié: MDPI AG 2021
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Accès en ligne:https://doaj.org/article/43a306127d5a434ea9de8243c36fd8d2
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