Quantum Deep Learning for Steel Industry Computer Vision Quality Control.
نویسندگان
چکیده
The aim of this paper is to explore the potential capabilities quantum machine learning technology (a branch computing) when applied surface quality supervision inside steel manufacturing processes where environmental conditions can affect images. Comparison with classical deep classification schema performed. application case, driven by so-called quantvolutional configuration, shows a large using in field, mainly because speed physical engine.
منابع مشابه
Hierarchical Convolutional Deep Learning in Computer Vision
It has long been the goal in computer vision to learn a hierarchy of features useful for object recognition. Spanning the two traditional paradigms of machine learning, unsupervised and supervised learning, we investigate the application of deep learning methods to tackle this challenging task and to learn robust representations of images. We begin our investigation with the introduction of a n...
متن کاملDeep Learning for Computer Vision: A Brief Review
Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases. This review paper provides a brief overview of some of the most significant deep learning schemes used in computer vision problems, that is, Convolutional Neural Networks, Deep Boltzmann Machi...
متن کاملComputer Vision for the Car Industry
This report provides a brief and informal introduction into stereo and motion analysis for driver assistance. Stereo and motion analysis play a central role in computer vision [10]. Many algorithms in this field have been proposed and carefully studied; see, for example, [2, 14] and the website vision.middlebury.edu for stereo and optic flow algorithms. In short, a stereo pair of images allows ...
متن کاملA computer vision approach for textile quality control
Textile manufacturers have to monitor the quality of their products in order to maintain the high-quality standards established for the clothing industry. Thus, textile quality control is a key factor for the increase of competitiveness of their companies. Textile faults have traditionally been detected by human visual inspection. However, human inspection is time consuming and does not achieve...
متن کاملTowards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
This paper introduces a machine learning based system for controlling a robotic manipulator with visual perception only. The capability to autonomously learn robot controllers solely from raw-pixel images and without any prior knowledge of configuration is shown for the first time. We build upon the success of recent deep reinforcement learning and develop a system for learning target reaching ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2022
ISSN: ['2405-8963', '2405-8971']
DOI: https://doi.org/10.1016/j.ifacol.2022.04.216