Smart Object Detector for a Small-Scale Recycling Automation System
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.
Authors
- Amirul Syafiq Sadun (ORCID: https://orcid.org/0000-0002-1442-2365)
- Jamaludin Jalani (ORCID: https://orcid.org/0000-0002-6766-1378)
- Sujana Mohd Rejab
- Mohamad Khairi Ishak (ORCID: https://orcid.org/0000-0002-3554-0061)
- Shin Ru Yau
Institutions
- Ajman University (AE)
- Institut Penyelidikan Veterinar (MY)
- Tun Hussein Onn University of Malaysia (MY)
Publication Details
- Journal
- Journal of Advanced Research in Applied Sciences and Engineering Technology
- Published
- 2024-10-07
- DOI
- https://doi.org/10.37934/araset.55.1.113
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universiti Tun Hussein Onn Malaysia