27_jan_2023_aushadai Computer Vision Project

Mohit khubele

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. License Plate Recognition: Use the computer vision model to automatically identify and read alphanumeric characters on vehicles' license plates for parking management, law enforcement, or toll booths.

  2. Document Verification: Automate the extraction of alphanumeric characters from identity documents such as passports, driver's licenses, and social security cards for validation, authentication, or data entry purposes.

  3. OCR for Printed/Handwritten Text: Utilize the model to recognize and convert printed or handwritten alphanumeric characters into digital text for transcription services, digitizing books, or extracting information from forms.

  4. Identifying Serial Numbers on Products: Implement the model to automatically detect and read serial numbers or product codes on manufactured items for tracking, inventory management, or authentication purposes.

  5. Assistive Technology: Integrate the model into devices that help visually impaired users by converting printed or handwritten alphanumeric characters into an audible or tactile format, thus enabling them to read physical documents, signs, or labels.

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{
                            27_jan_2023_aushadai_dataset,
                            title = { 27_jan_2023_aushadai Dataset },
                            type = { Open Source Dataset },
                            author = { Mohit khubele },
                            howpublished = { \url{ https://universe.roboflow.com/mohit-khubele/27_jan_2023_aushadai } },
                            url = { https://universe.roboflow.com/mohit-khubele/27_jan_2023_aushadai },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-11-22 },
                            }
                        
                    

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