This paper describes the prototype implementation of a real-time automatic identification and sorting system for recyclable beverage cans using an intelligent computer vision technique. The image recognition system was developed based on the eigenface algorithm and achieved its ability to identify and sort by means of an automatic learning process. Three experiments have been conducted based on position and types of beverage cans moving on a conveyor belt. The results show that the identification and sorting of beverage cans achieved with an accuracy of up to 95%. It is concluded that the performance of the proposed system is robust enough for commercial applications. ©Civil-Comp Press, 2013.
|Publication status||Published - 01 Jan 2013|
|Event||Civil-Comp Proceedings - |
Duration: 01 Jan 2013 → …
|Period||01/01/13 → …|
All Science Journal Classification (ASJC) codes
- Building and Construction
- Mechanical Engineering
- Management, Monitoring, Policy and Law
Yani, I., Scavino, E., Hannan, M. A., Wahab, D. A., & Basri, H. (2013). An automatic sorting system for recycling beverage cans using the eigenface algorithm. Paper presented at Civil-Comp Proceedings, .