• Title of article

    Edible Bird Nest Processing using Machine Vision and Robotic Arm

  • Author/Authors

    Subramaniam, Yuvarajoo Universiti Teknologi Malaysia (UTM) - Malaysia Japan Institute of Technolgy (MJIIT), Malaysia , Fai, Yeong Che Universiti Teknologi Malaysia - Faculty of Electrical Engineering, Center for Artificial Intelligence and Robotics, Malaysia , Ming, Eileen Su Lee Universiti Teknologi Malaysia (UTM) - Faculty of Electrical Engineering, Malaysia

  • From page
    85
  • To page
    88
  • Abstract
    Edible bird nest food product is one of the demanding food product in food production industry. Government looking into ways to improve this industry to boost the economy. Many large scale production are being operated around Malaysia. One of the major difficulties faced in processing the bird nest is to remove its impurities or more formerly known as dirt. Current conventional cleaning method which is manual cleaning is not cost effective and time consuming. Furthermore, it also requires large number of workforce to be used for processing small quantities of bird nest. This paper presents an automated system which utilizes machine vision system and an industrial robot to accomplish a better processing system for edible bird nest. This system offers great advantage compared to conventional process by reducing the time consumed for processing and increase the efficiency.
  • Keywords
    Edible , bird nest , automation , vision , robotic
  • Journal title
    Jurnal Teknologi :F
  • Journal title
    Jurnal Teknologi :F
  • Record number

    2716979