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Studying the Influence of Illumination Design in Quality Inspection on Vaccine Vials Production Line Using Computer Vision

11 pagesPublished: January 16, 2022

Abstract

In the industrial context, there are key factors that directly affect the system’s efficiency. Higher demands for both quantity and quality in today’s market call for constant research and development of technologies for automating production and quality control. Machine vision is a solution to increase speed and accuracy in defect detection. However, applications from machine vision are only effective if there is good data input. This is the reason why a machine vision system, needs high-quality input images from a well-designed illumination system. These illumination systems are designed to highlight faults in products. Therefore, the images obtained will provide optimized data for easier image processing thus directly increase the processing speed, accuracy, and overall system performance. To achieve this goal, this paper presents a few approaches to enhance and optimize images by implements illumination techniques into a miniature model of pharmaceutical bottle assembly line using machine vision as the inspector block. In this paper, we will evaluate the critical needs of using customize illumination system for quality inspection on an assembly line.

Keyphrases: assembly line, automatic optical inspection, computer vision, illumination, image processing, inspection, led lamp, machine vision, optics, vaccine

In: Tich Thien Truong, Trung Nghia Tran, Thanh Nha Nguyen and Quoc Khai Le (editors). Proceedings of International Symposium on Applied Science 2021, vol 4, pages 9-19.

BibTeX entry
@inproceedings{ISAS2021:Studying_Influence_Illumination_Design,
  author    = {Sy Hieu Dau and Quang My Han Doan and Chiu Hy Ta and Nguyen An Khang Le and Nguyen Thanh Dat Khau},
  title     = {Studying the Influence of Illumination Design in Quality Inspection on Vaccine Vials Production Line Using Computer Vision},
  booktitle = {Proceedings of International Symposium on Applied Science 2021},
  editor    = {Tich Thien Truong and Trung Nghia Tran and Thanh Nha Nguyen and Quoc Khai Le},
  series    = {Kalpa Publications in Engineering},
  volume    = {4},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1770},
  url       = {/publications/paper/tf16},
  doi       = {10.29007/qz2g},
  pages     = {9-19},
  year      = {2022}}
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