Banknote recognition Computer Vision Project

FYP

Updated 2 years ago

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Classes (6)
RM 1
RM 10
RM 100
RM 20
RM 5
RM 50
Description

Here are a few use cases for this project:

  1. Automated Teller Machines (ATMs): The "Banknote recognition" model can be deployed to identify and validate the denominations of banknotes for ATM transactions, which would enhance the accuracy and efficiency of these machines.

  2. Cash Counter Machines: The model can be used in automated cash counting machines at banks, retail stores, casinos, and other businesses that handle a large amount of physical money to ensure accurate counting and sorting of different banknote classes.

  3. Anti-Counterfeiting Solutions: The model can be employed as a tool to detect counterfeit banknotes, by comparing the physical characteristics of a note against the features of authentic banknotes it has been trained on.

  4. Financial Institutions: Human tellers or auditors at banks and other financial institutions could use this model to automate the process of cash handling, thereby reducing human error and increasing productivity.

  5. Assistive Technologies for Visually Impaired: The computer vision model can be incorporated into mobile applications to help visually impaired individuals identify banknote denominations, providing them greater financial independence.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            banknote-recognition-mdm4g_dataset,
                            title = { Banknote recognition Dataset },
                            type = { Open Source Dataset },
                            author = { FYP },
                            howpublished = { \url{ https://universe.roboflow.com/fyp-leirw/banknote-recognition-mdm4g } },
                            url = { https://universe.roboflow.com/fyp-leirw/banknote-recognition-mdm4g },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-11-27 },
                            }
                        
                    

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