2 datasets found
  1. R

    Banknote Dataset

    • universe.roboflow.com
    zip
    Updated Jan 7, 2023
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    FYP (2023). Banknote Dataset [Dataset]. https://universe.roboflow.com/fyp-leirw/banknote
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 7, 2023
    Dataset authored and provided by
    FYP
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Banknote Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Money Counter Application: The 'banknote' model could be adopted in banks or retail businesses that frequently deal with large amounts of cash. The model can be used in an automated machine or app to count different denominations of notes, increasing speed and reducing human errors associated with manual cash counting.

    2. Fraud Detection: The model can assist in building systems to identify counterfeit notes. By recognizing the distinct patterns, colors, and markings of authentic RM banknotes, it could alert users to potential fake or modified banknotes.

    3. Financial Educational Tools: The banknote model could be used in digital educational tools to teach children or adults about different types of RM banknotes.

    4. Aid for Visually Impaired: The model could be incorporated into an application designed to assist visually impaired people identify the value of banknotes.

    5. Virtual Reality Shopping: In a simulated environment such as VR shopping apps, the model could be used to identify and process transactions involving RM banknotes, providing a realistic shopping experience for users.

  2. R

    Malaysian Banknote Dataset

    • universe.roboflow.com
    zip
    Updated Jan 8, 2023
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    FYP (2023). Malaysian Banknote Dataset [Dataset]. https://universe.roboflow.com/fyp-leirw/malaysian-banknote
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 8, 2023
    Dataset authored and provided by
    FYP
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Variables measured
    Banknote Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Cash Handling Automation: The "Malaysian Banknote" model could be integrated into Automated Teller Machines (ATMs) or self-service checkout systems to automatically identify and validate denominations of cash being deposited or given as change, reducing human errors.

    2. Financial Apps: This model can be integrated into financial apps to enable users to track their cash spending efficiently. Users can take a picture of the banknote they spend, and the app will automatically log the amount based on the identified denomination.

    3. Anti-Counterfeit Measures: Authorities could use the model as a tool for spotting counterfeit banknotes. Although it does not directly detect counterfeit features, the model could flag discrepancies in recognition that could suggest a note being fake or tampered with.

    4. Aid for the Visually Impaired: This computer vision model could be used to develop applications that help visually impaired or blind people identify the denomination of Malaysian banknotes they are handling, promoting greater financial independence.

    5. Educational Tools: The model can be used within educational settings, teaching students about Malaysian currency, its different denominations, or could even be used in projects exploring computer vision and AI technology.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
FYP (2023). Banknote Dataset [Dataset]. https://universe.roboflow.com/fyp-leirw/banknote

Banknote Dataset

banknote

banknote-dataset

Explore at:
zipAvailable download formats
Dataset updated
Jan 7, 2023
Dataset authored and provided by
FYP
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Variables measured
Banknote Bounding Boxes
Description

Here are a few use cases for this project:

  1. Money Counter Application: The 'banknote' model could be adopted in banks or retail businesses that frequently deal with large amounts of cash. The model can be used in an automated machine or app to count different denominations of notes, increasing speed and reducing human errors associated with manual cash counting.

  2. Fraud Detection: The model can assist in building systems to identify counterfeit notes. By recognizing the distinct patterns, colors, and markings of authentic RM banknotes, it could alert users to potential fake or modified banknotes.

  3. Financial Educational Tools: The banknote model could be used in digital educational tools to teach children or adults about different types of RM banknotes.

  4. Aid for Visually Impaired: The model could be incorporated into an application designed to assist visually impaired people identify the value of banknotes.

  5. Virtual Reality Shopping: In a simulated environment such as VR shopping apps, the model could be used to identify and process transactions involving RM banknotes, providing a realistic shopping experience for users.

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