sumanth Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Invoice Processing Automation: The sumanth model could be used to extract all necessary information (like invoice number, date, total, buyer, vendor, and FSSAI number) from scanned or digital invoices, and then input this data directly into financial or inventory management systems for further processing.
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Fraud Detection: By detecting and validating the signature on documents, the model could help identify potential fraud activities, ensuring that invoices and legal documents are signed by the correct person.
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Record Archiving and Retrieval: Companies could use the model to digitally archive their physical documents. By recognizing specific details such as invoice number or buyer, the stored information can be searched and retrieved easily at a later date.
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Regulatory Compliance: In industries where monitoring FSSAI (Food Safety and Standards Authority of India) numbers is important, this model could help identify and verify the FSSAI number on documents to ensure regulatory compliance.
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Vendor Management: The model could assist in identifying vendor details from a pile of invoices, allowing for a more streamlined process of tracking and managing vendor relationship and payments.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
sumanth_dataset,
title = { sumanth Dataset },
type = { Open Source Dataset },
author = { invoices },
howpublished = { \url{ https://universe.roboflow.com/invoices-bq34v/sumanth } },
url = { https://universe.roboflow.com/invoices-bq34v/sumanth },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-11-21 },
}