alphabet-extended Computer Vision Project

Here are a few use cases for this project:

1. Digit Recognition and Text Detection: This model can be used to extract and identify alphanumeric codes and texts from images, for example, in scenarios where important data is written on industrial components like pipes, wires, and machinery.

2. Postal Code Sorting: Mail services could employ this model to sort letters and parcels based on automated interpretation of handwritten or printed postal codes. This would dramatically improve operational efficiency.

3. License Plate Identification: Companies involved with traffic monitoring, law enforcement, or vehicle tracking can use the model to read and identify license plates, even if the vehicle is moving or the image quality is less than optimal.

4. Data Entry Automation: Firms that deal with a large volume of documents containing alphanumeric data, such as invoices, bills, or order slips, can utilize this technology to simplify data entry tasks, thereby saving time and reducing human errors.

5. Signage Understanding for Autonomous Vehicles: The model could help self-driving cars read and understand road signs, or identify other important symbols and information in the environment, thereby contributing to safer navigation.