Open AccessResearch on Position Tracking Algorithm with Vision Sensor for the Auto Liquid Filling Machine
Author(s) -
Jun Sik Lee,
Jun Ho Lee,
Jung Kyu Park
Publication year - 2022
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v19i1/web19306
Subject(s) - hough transform , position (finance) , nozzle , machine vision , algorithm , computer science , tracking (education) , set (abstract data type) , feature (linguistics) , computer vision , product (mathematics) , artificial intelligence , engineering , mechanical engineering , image (mathematics) , mathematics , psychology , pedagogy , linguistics , philosophy , geometry , finance , economics , programming language
The liquid filling machine is used in packaging fields such as food, chemistry, and oil industries. In particular, the machines are used to package products in drums after manufacturing products in hazardous chemical factories. Existing filling machine allows the operator to directly inject the product and set the injection capacity only to the standard drum. In this paper, we propose position tracking algorithm with a vision sensor that can track the inlet location of various types of drums. Hough transform detection method is used to search for objects in images from the vision sensor. The proposed algorithm can calculate the position of the injection hole after extracting the feature points so that it is possible to inject the product by automatically moving the injection nozzle. Therefore, it expected that the developed algorithm for the automatic liquid filling machine will give more production and save a lot of manpower for packaging industry.