Manikandan, A. and Thirumal, S. and Kumar, N. (2023) Automated Cash Liquidity Flow Monitoring and Registry Using Deep Learning. In: Automated Cash Liquidity Flow Monitoring and Registry Using Deep Learning. IGI GLOBAL, pp. 541-554.
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Automated Cash Liquidity Flow Monitoring and Registry Using Deep Learning.pdf
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Abstract
The purpose of this initiative is to monitor the flow of bank notes inside the country and identify any illegal actions. This may be accomplished by putting in place the illicit money identification by counter automation system using deep learning in banking institutions, merchants, manufacturing areas, and so onto effectively tackle the issues, we employ computer vision as a project domain. The primary goal of this project is to automate the billing areas by creating a log out of bank notes flow with its unique serial number, determining if the bank note is legitimate or not, and tracking looted bank notes if used in any places where this project is applied.
Item Type: | Book Section |
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Subjects: | Computer Science > Computer Networks |
Divisions: | Computer Science |
Depositing User: | Mr IR Admin |
Date Deposited: | 21 Sep 2024 06:58 |
Last Modified: | 21 Sep 2024 06:58 |
URI: | https://ir.vistas.ac.in/id/eprint/6807 |