Smart Object Detector for a Small-Scale Recycling Automation System

Authors

  • Shin Ru Yau Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, Hab Pendidikan Tinggi Pagoh, M 1, Jalan Panchor, 84600 Pagoh, Johor, Malaysia
  • Jamaludin Jalani Department of Electronic Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400 Batu Pahat, Johor, Malaysia
  • Amirul Syafiq Sadun Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, Hab Pendidikan Tinggi Pagoh, M 1, Jalan Panchor, 84600 Pagoh, Johor, Malaysia
  • Sujana Mohd Rejab MyVista, Lot 396, Jalan Matang, Simpang, 34700 Ipoh, Perak, Malaysia
  • Mohamad Khairi Ishak Department of Electrical and Computer Engineering, College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates

DOI:

https://doi.org/10.37934/araset.55.1.113

Keywords:

Smart object detector, Smart conveyer, Automated conveyor, IR sensor, Capacitive proximity sensor, Inductive proximity sensor

Abstract

The increasing amount of waste generated each year necessitates immediate action to address and resolve this problem. This research establishes a small-scale recycling automatic system that allows us to detect objects based on different materials. The system is known as the Smart Object Detector for Small-Scale Recycling Automation System. Three types of objects, paper, metal, and plastic will be used to test the capability of the proposed system. The system will be equipped with the IR sensor, the capacitive proximity sensor, and the inductive proximity sensor. The conveyor belt is built, a servomotor is used to move the conveyor belt, and the containers are developed as part of a small-scale recycling automatic system conveyor system. The proposed smart object detector for a small-scale recycling automation system is found to be reliable for detecting, identifying, and segregating the object for different materials.

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Author Biographies

Shin Ru Yau, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, Hab Pendidikan Tinggi Pagoh, M 1, Jalan Panchor, 84600 Pagoh, Johor, Malaysia

hn170011@student.uthm.edu.my

Jamaludin Jalani, Department of Electronic Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400 Batu Pahat, Johor, Malaysia

jamalj@uthm.edu.my

Amirul Syafiq Sadun, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, Hab Pendidikan Tinggi Pagoh, M 1, Jalan Panchor, 84600 Pagoh, Johor, Malaysia

amirul@uthm.edu.my

Sujana Mohd Rejab, MyVista, Lot 396, Jalan Matang, Simpang, 34700 Ipoh, Perak, Malaysia

sujana.rejab@gmail.com

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Published

2024-10-07

Issue

Online First Articles

Section

Articles
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