This project aims to detect number plate of a vehicle in a image or video and extract the number plate text using Optical Character Recognation(OCR). This system is implemented by using yolov5, EasyOCR and a Custom OCR model.

Dataset:

Used Roboflow to annotate/label our data.

Clone the repository

git clone https://github.com/ZohairAbbas/Number-Plate-Detection.git

Change the working directory

cd Number-Plate-Detection

Install dependencies

pip install -r requirements.txt

Run the app

python -m uvicorn api:app --reload

The pipeline in the project is as follows:

Train custom data using yolov5

Custom number plate detection using yolov5 and saving plates as cropped images

Apply the extracted plate to EasyOCR and Custom OCR

Get plates-text in an array format

Integeration of FastAPI