Flexible and Transportable Illumination Control System for Machine Vision Applications

被引:0
作者
Gusic, Muhamed [1 ]
Sokic, Emir [1 ]
机构
[1] Univ Sarajevo, Dept Automat Control & Elect, Fac Elect Engn, Sarajevo 71000, Bosnia & Herceg
来源
NEW TECHNOLOGIES, DEVELOPMENT AND APPLICATION VII, VOL 2, NT-2024 | 2024年 / 1070卷
关键词
machine vision; visual inspection; illumination control system; embedded systems; digital image processing;
D O I
10.1007/978-3-031-66271-3_7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
During the development of machine vision setups for industrial applications, namely automatic visual inspection systems, the type of required lighting and correct illumination position and intensity are often not known in advance. In order to solve a specific machine vision task, an engineer needs to propose and implement a suitable image processing algorithm and design the accompanying lighting system. Testing different illumination concepts, especially "in the field", using off-the-shelf lighting systems is time consuming. The paper presents a custom-made, cost effective, transportable and flexible system which may be used for testing different illumination techniques and simultaneously control multiple lighting modules. In addition to the hardware part, the developed software used for control the system is presented in the paper. The proposed device usefulness is demonstrated by solving a suitable multi-light digital image processing task.
引用
收藏
页码:58 / 65
页数:8
相关论文
共 14 条
  • [1] Evaluation of the relief line and the contour line on Greek red-figure vases using reflectance transformation imaging and three-dimensional laser scanning confocal microscopy
    Artal-Isbrand, Paula
    Klausmeyer, Philip
    [J]. STUDIES IN CONSERVATION, 2013, 58 (04) : 338 - 359
  • [2] Brennan J., 2021, Lecture Notes in Networks and Systems, V233
  • [3] cognex, Machine Vision Lighting|Cognex
  • [4] Cosentino A, 2015, INT J CONSERV SCI, V6, P23
  • [5] Multiscale shape and detail enhancement from multi-light image collections
    Fattal, Raanan
    Agrawala, Maneesh
    Rusinkiewicz, Szymon
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2007, 26 (03):
  • [6] Implementation of Industry 4.0 and Industrial Robots in the Manufacturing Processes
    Karabegovic, Isak
    Karabegovic, Edina
    Mahmic, Mehmed
    Husak, Ermin
    [J]. NEW TECHNOLOGIES, DEVELOPMENT AND APPLICATION II, 2020, 76 : 3 - 14
  • [7] A survey on industrial vision systems, applications and tools
    Malamas, EN
    Petrakis, EGM
    Zervakis, M
    Petit, L
    Legat, JD
    [J]. IMAGE AND VISION COMPUTING, 2003, 21 (02) : 171 - 188
  • [8] Perrin B., 1999, The Art and Science of RS-485
  • [9] State-of-the-art in Multi-Light Image Collections for Surface Visualization and Analysis
    Pintus, R.
    Dulecha, T. G.
    Ciortan, I
    Gobbetti, E.
    Giachetti, A.
    [J]. COMPUTER GRAPHICS FORUM, 2019, 38 (03) : 909 - 934
  • [10] Non-photorealistic camera: Depth edge detection and stylized rendering using multi-flash Imaging
    Raskar, R
    Tan, KH
    Feris, R
    Yu, JY
    Turk, M
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2004, 23 (03): : 679 - 688