Showing 1 - 20 results of 124 for search '"machine vision"', query time: 0.06s Refine Results
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    Machine vision model for drip leakage detection of pipeline. by Cong Xiao, Yiyuan Zhou, Yanwen Wu, Guodong Zhang

    Published 2025-01-01
    “…In light of this, our study investigates a method for monitoring pipe drips in industrial equipment using machine vision technology. We propose a machine vision model specifically designed for pipe drip detection, aiming to facilitate monitoring of pipe system drips. …”
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    Automatic Recognition and Detection System Based on Machine Vision by Lu Wang, Lihong Cui

    Published 2022-01-01
    “…In order to realize the automation of part identification and detection and the intellectualization of part production, this paper proposes a method of automatic identification and detection of parts based on machine vision (overall method). This paper combines machine vision with motion control theory and uses pulse coupled neural network (PCNN) edge detection and recognition algorithms to preliminarily design a set of machine vision automatic recognition and detection systems and carry out detection and recognition experiments on small parts such as relay covers. …”
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    UAV Intelligent Control Based on Machine Vision and Multiagent Decision-Making by Zishan Huang

    Published 2022-01-01
    “…In addition, this paper combines machine vision technology and multiagent decision-making technology for UAV intelligent control and builds an intelligent control system, which uses intelligent machine vision technology for recognition and multiagent decision-making technology for motion control. …”
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    Machine vision-based detection of key traits in shiitake mushroom caps by Jiuxiao Zhao, Jiuxiao Zhao, Wengang Zheng, Wengang Zheng, Yibo Wei, Yibo Wei, Qian Zhao, Qian Zhao, Jing Dong, Jing Dong, Xin Zhang, Xin Zhang, Mingfei Wang, Mingfei Wang

    Published 2025-02-01
    “…This study puts forward a machine vision-based prediction method to solve the problem regarding the measurement of traits in shiitake mushroom caps during the shiitake mushroom breeding process. …”
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    A Study on Elements of Machine Vision and Machine Learning in Industrial Vision Systems by Jarosław PANASIUK (jaroslaw.panasiuk@wat.edu.pl), Adrianna ADAMUS (adrianna.adamus@student.wat.edu.pl)

    Published 2024-09-01
    “…The analysis is preceded by a short introduction to the subject of machine vision as well as a presentation of the results of research on industrial 3D vision systems, leading to conclusions that affect the prospects for further development of vision systems with elements of machine learning.…”
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    Concrete Crack Skeleton Analysis: A Machine Vision Approach to Feature Extraction by Rui Wang, Xinxin Guo, Jiaxuan Liu, Yu Wan

    Published 2024-01-01
    “…The crack feature is the key to crack recognition in concrete surface crack detection systems based on machine vision. As the “essence” of crack, the crack skeleton shows good stability. …”
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    Embodied neuromorphic synergy for lighting-robust machine vision to see in extreme bright by Shijie Lin, Guangze Zheng, Ziwei Wang, Ruihua Han, Wanli Xing, Zeqing Zhang, Yifan Peng, Jia Pan

    Published 2024-12-01
    “…Abstract Proper exposure settings are crucial for modern machine vision cameras to accurately convert light into clear images. …”
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    Measuring Method for Helical Angle Parameter of Helical Gear based on Machine Vision by Wei Shi, Yu Hou, Shifan Zhou, Qilang Liu

    Published 2020-05-01
    “…Abstract In order to detect helical angle and other parameter quickly, the method of measuring standard helical gear is proposed based on machine vision. First of all, the overall structure and measurement process of the system are introduced. …”
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    Machine-Vision-Based Enhanced Deep Genetic Algorithm for Robot Action Analysis by Guifeng Wang, Lu-ming Zhang, Yichuan Sheng

    Published 2022-01-01
    “…In order to satisfy the requirement of fast sorting of the robot parts, a robot species method (BAS-GA) that supports machine vision and improved genetic algorithm rules is proposed. …”
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