Design of an Automatic Fish Sorting System on a Conveyor based on Machine Vision

@article{1705344,
      author = {Jotje Rantung , Hengky Luntungan, Yan Tondok},
      title = {Design of an Automatic Fish Sorting System on a Conveyor based on Machine Vision},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {7},
      pages = {218-224},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705344.pdf},
      abstract = {In the industrial sector, automatic sorting systems are used to increase production output. This paper describes research conducted on the design of an automatic fish sorting system on machine vision-based conveyors. The approach of applying a stereo camera as a vision sensor designed to become a vision machine is applied to achieve this design goal. In addition, techniques based on stereo vision imaging were developed for the task of fish size identification. A machine-vision based system is used for fish sorting. Algorithms were developed to determine the length, width, and height of fish directly with fast, real-time online processing. This sorting technique applies to one species of fish. The design specifications of the vision system and camera capture device are also presented in this paper. The method of size-based fish product sorting is effective. Sorting by system can identify in either the top or side position. Real-time analysis is used by this system to deliver the necessary outcomes. The outcomes reach the sorting gate situated at the terminus of the conveyor belt system.},
      keywords = {Design, Automatic fish sorting, Conveyor, Machine Vision},
      month = {January},
  }