Volume 35 Issue 1
Sep.  2022
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LI Zhiwei, GUO Hengchang, LI Hongwei, REN Yuanhong, ZHOU Wuneng. Research on colorless silicone oil injection measurement system for neutral pen-refill[J]. Journal of Shanghai University of Engineering Science, 2022, 36(1): 16-22. doi: 10.12299/jsues.21-0207
Citation: LI Zhiwei, GUO Hengchang, LI Hongwei, REN Yuanhong, ZHOU Wuneng. Research on colorless silicone oil injection measurement system for neutral pen-refill[J]. Journal of Shanghai University of Engineering Science, 2022, 36(1): 16-22. doi: 10.12299/jsues.21-0207

Research on colorless silicone oil injection measurement system for neutral pen-refill

doi: 10.12299/jsues.21-0207
  • Received Date: 2021-09-28
  • Publish Date: 2022-09-26
  • Aiming at the difficulty in detecting the amount of silicone oil injection caused by the small gray difference between the neutral transparent refill and the colorless silicone oil, a new method and system for detecting the injection amount of colorless silicone oil based on machine vision was proposed and designed. An image acquisition unit and an external light source control unit were the main hardware part of the system. By adjusting the illumination angle of the external light source, the enhancement of the gray difference in the colorless silicone oil area can be realized. In the part of software and algorithm, a gray region histogram algorithm was used to select the corresponding region of interest (ROI) and parameters on the constructed human interaction interface, and the length detection results were displayed in real time. The experimental results show that the system can accurately detect the continuous length of silicone oil, the system has good real-time performance and stability, high accuracy, and has a certain value of promotion and application.

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  • [1]
    KIM K, PROCTOR R W, SALVENDY G. Emotional factors and physical properties of ballpoint pens that affect user satisfaction: Implications for pen and stylus design[J] . Applied Ergonomics,2020,85:103067. doi: 10.1016/j.apergo.2020.103067
    [2]
    姚鹤忠. 圆珠笔质量水平调查与评价报告(续)[J] . 中国制笔,2019(4):44 − 46. doi: 10.3969/j.issn.1001-7860.2019.04.007
    [3]
    ROBINSON S L, MILLER R K. Automated inspection and quality assurance[M]. Boca Raton: CRC Press, 2017.
    [4]
    吴志鹏, 黄丹平, 郭康, 等. 基于机器视觉的新型光缆节距检测方法研究[J] . 激光与光电子学进展,2020,57(8):321 − 328.
    [5]
    CHAUDHURY A, WARD C, TALASAZ A, et al. Machine vision system for 3D plant phenotyping[J] . IEEE/ACM transactions on computational biology and bioinformatics,2019,16(6):2009 − 2022. doi: 10.1109/TCBB.2018.2824814
    [6]
    HOU Q L, SUN J, LYU Z Y, et al. An online tool wear detection system in dry milling based on machine vision[J] . The International Journal of Advanced Manufacturing Technology,2019,105(1/2/3/4):1801 − 1810.
    [7]
    尹仕斌, 任永杰, 刘涛, 等. 机器视觉技术在现代汽车制造中的应用综述[J] . 光学学报,2018,38(8):11 − 22.
    [8]
    汤勃, 孔建益, 伍世虔. 机器视觉表面缺陷检测综述[J] . 中国图象图形学报,2017,22(12):1640 − 1663. doi: 10.11834/jig.160623
    [9]
    艾永平, 唐巧兴, 王泽杰, 等. 基于机器视觉的割草系统青草识别研究[J] . 上海工程技术大学学报,2020,34(4):369 − 374.
    [10]
    朱成德, 李志伟, 王凯, 等. 基于改进网格运动统计特征的图像匹配算法[J] . 计算机应用,2019,39(8):2396 − 2401. doi: 10.11772/j.issn.1001-9081.2018122590
    [11]
    张晓, 秦勃. 基于Canny算子的透明胶囊缺陷检测[J] . 计算机系统应用,2015,24(8):242 − 246. doi: 10.3969/j.issn.1003-3254.2015.08.044
    [12]
    CANNY J. A computational approach to edge detection[J] . IEEE Transactions on pattern analysis and machine intelligence,1986, 8(6):679 − 698.
    [13]
    关日钊, 吴磊, 徐焯基. 基于机器视觉的透明塑料件缺陷检测[J] . 装备制造技术,2018(3):167 − 171. doi: 10.3969/j.issn.1672-545X.2018.03.053
    [14]
    付兴勇, 任德均, 严扎杰, 等. 基于模板匹配的透明盒缺陷检测[J] . 软件导刊,2019,18(3):187 − 190.
    [15]
    许长路, 李林升, 立济伟. 基于Gamma矫正与LOG算法融合的锂电池极片缺陷检测方法[J] . 机械设计与研究,2020,36(6):105 − 109.
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