Research Repository

Vision-based precise cash counting in ATM machines

Nia, HFG and Hu, H (2014) Vision-based precise cash counting in ATM machines. In: UNSPECIFIED, ? - ?.

Full text not available from this repository.


The demand to use ATM machines has increased tremendously worldwide during the last decade. Traditional cash counting in ATM machines is based on the mechanical mechanism that is in touch with cash and may cause some damages from time to time. This paper proposes a novel visual based counting technology for cash counting in ATM machines. To achieve precise counting, intelligent decision making algorithms are deployed to evaluate the counting performance so that the machine will not produce incorrect counts. The experimental results showed that the proposed method can eliminate false positive counts effectively. © 2014 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 21 Jul 2015 11:33
Last Modified: 23 Jan 2019 00:18

Actions (login required)

View Item View Item