Design the Abnormal Object Detection System Using Template Matching and Subtract Background Algorithm

Dang Thai Viet, Ngoc Tam Bui

研究成果: Conference contribution

抄録

Computer vision is an artificial intelligence (AI) subfield that enables computers and systems to extract information from digital photos, movies, and other visual inputs. Detection systems are an important use in industrial production lines. In this paper, an automatic small abnormal object system is designed. First, the author obtains an image devoid of anomalous objects, which is then processed using the Candy filter to produce the standard form. Second, define the primary pattern, sub pattern 1, sub pattern 2, and the deviation between the new image and the original image. Then, we use template matching and background subtraction to identify questionable locations. Finally, live picture features will be compared to original image features. With Candy filter, the precision will be enhanced. The findings of image processing will be transmitted to operate the automatic abnormal removal equipment. The result indicates an accuracy of ~ 90%. The processing time is < 5 s, which has no effect on the production line cycle time.

本文言語English
ホスト出版物のタイトルProceedings of the 3rd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2022) - Volume 3
ホスト出版物のサブタイトルSustainable Approaches in Machine Design, Life Cycle Engineering, and Energy Management for Manufacturing Processes
編集者Banh Tien Long, Kozo Ishizaki, Hyung Sun Kim, Yun-Hae Kim, Nguyen Duc Toan, Nguyen Thi Hong Minh, Pham Duc An
出版社Springer Science and Business Media Deutschland GmbH
ページ87-95
ページ数9
ISBN(印刷版)9783031574597
DOI
出版ステータスPublished - 2024
イベント3rd Annual International Conference on Material, Machines and Methods for Sustainable Development, MMMS 2022 - Can Tho, Viet Nam
継続期間: 2022 11月 102022 11月 13

出版物シリーズ

名前Lecture Notes in Mechanical Engineering
ISSN(印刷版)2195-4356
ISSN(電子版)2195-4364

Conference

Conference3rd Annual International Conference on Material, Machines and Methods for Sustainable Development, MMMS 2022
国/地域Viet Nam
CityCan Tho
Period22/11/1022/11/13

ASJC Scopus subject areas

  • 自動車工学
  • 航空宇宙工学
  • 機械工学
  • 流体および伝熱

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