Vision-based Automatic Detection of Suspended Solids in Bottled Mineral Water

被引:0
|
作者
Sheng, Ziye [1 ]
Zhang, Yunwei [1 ]
机构
[1] Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China
基金
中国国家自然科学基金;
关键词
computer vision; Bottled mineral water; Suspended solids detection; Image processing;
D O I
10.1109/icicsp48821.2019.8958545
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Bottled mineral water must be tested to determine whether there exist suspended solids before leaving the factory. At present, it is mainly observed by manual methods. This method is time-consuming and laborious. It relies on artificial subjective feelings, and the detection effect is unsatisfying. Aiming at this problem, an automatic detection method for testing suspended solids in bottled mineral water based on computer vision technology is established in this paper, which includes image acquisition, object recognition of suspended solids, quantity statistics, size estimation, and other image analysis processing. On the basis of this, an automatic detection device for suspended solids in bottled mineral water is designed, and the testing of suspended solids in bottled mineral water is accomplished. The testing results show that the method proposed in this paper can find out suspended solids in bottled mineral water both qualitatively and quantitatively with high precision. The statistics for quantity of suspended solids is accurate. The above device and method could be applied to the detection of bottled mineral water before water leaving the factory with the features of accurate detection, saving labor, improving work efficiency, and easy operation.
引用
收藏
页码:464 / 468
页数:5
相关论文
共 50 条
  • [1] Vision-Based Automatic Detection Method for Suspended Matter in Bottled Mineral Water
    Sheng Ziye
    Zhang Yunwei
    [J]. LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (14)
  • [2] A video processing and machine vision-based automatic analyzer to determine sequentially total suspended and settleable solids in wastewater
    Ramos, Railson de Oliveira
    de Sousa Fernandes, David Douglas
    de Almeida, Valber Elias
    Gonsalves Dias Diniz, Paulo Henrique
    Lopes, Wilton Silva
    Leite, Valderi Duarte
    Ugulino de Araujo, Mario Cesar
    [J]. ANALYTICA CHIMICA ACTA, 2022, 1206
  • [3] A survey of vision-based automatic incident detection technology
    Wang, KF
    Jia, XW
    Tang, SM
    [J]. 2005 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY PROCEEDINGS, 2005, : 290 - 295
  • [4] A vision-based system for automatic detection and extraction of road networks
    Poullis, Charalambos
    You, Suya
    Neumann, Ulrich
    [J]. 2008 IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION, 2008, : 27 - 34
  • [5] Automatic vision-based parking slot detection and occupancy classification
    Grbic, Ratko
    Koch, Brando
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2023, 225
  • [6] Vision-Based System for Automatic Detection of Suspicious Objects on ATM
    Rattanapitak, Wirat
    Wangsiripitak, Somkiat
    [J]. COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2015, PT I, 2015, 9256 : 570 - 581
  • [7] Vision-based Pest Detection and Automatic Spray of Greenhouse Plant
    Li, Yan
    Xia, Chunlei
    Lee, Jangmyung
    [J]. ISIE: 2009 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, 2009, : 909 - 914
  • [8] A Vision-Based Method for Automatic Crack Detection in Railway Sleepers
    Delforouzi, Ahmad
    Tabatabaei, Amir Hossein
    Khan, Muhammad Hassan
    Grzegorzek, Marcin
    [J]. PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2017, 2018, 578 : 130 - 139
  • [9] Automatic Detection of Illuminant Reflection in Indoor Vision-based Navigation
    Wang Shengbei
    Wang Jianming
    Wang Xi
    Ma Ling
    Dou Ruzhen
    Leng Yu
    [J]. ADVANCED MEASUREMENT AND TEST, PTS 1-3, 2011, 301-303 : 201 - +
  • [10] A vision-based system for automatic growing ring detection and measurement
    Vaz, C
    Carvalho, P
    Duarte, F
    Dourado, A
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2004, 46 (02) : 347 - 354