This project is about detecting number plate of a car in an image and then extracting the number from the plate.
Tensorflow and OpenCV are used for training model and for image processing.
Here model used for Object Detection is YOLOv4 from DarkNet. Used AWS Textract for extracting number from cropped image.
The accuracy achieved by YOLOv4 was 98.9%.
Flask is used to develop Web App along with HTML and CSS. Have also used Docker to containerize flask app for deployment.
Dockerized flask app can be deployed on Heroku, AWS, Google Cloud, or Azure.
➤ In main page first we upload the image.
➤ On clicking Detect image will processed and the number will be extracted.
