luckycasualguy / django_cardreader

Classification model to recognize cards and pytesseract for text extraction from the card are implemented using Django

DJANGO_CARDREADER

Classification model to recognize cards and pytesseract for text extraction from the card are implemented using Django

Install requierments.txt

Before starting the server, unzip LIVE/Model/classifier2.zip in the same dir

How it works:

from cmd start the server by running python manage.py runserver
In the browser goto route localhost:8000/live/detect

This is how the page looks like:

Install IP webcam app on your phone to use mobile camera as your feed

Download Link

setup and start the server from your mobile device.
Put the ip link provided to you (After starting the server) in the set box.

If your Ip is incorrect/ you are not connected to same newtwork / Server is not running you will get this error

This is where you will see the confidence of your card. The classifier is not perfect, prototype was used inorder to reduce file size.
wait for 5 green confidence ticks for results.

green ticks:

red ticks:

This is how you get results after successful predictions:

You may not get perfect predictions due to various reasons, but the results are good enough. This project is just a showcase of DL models on Django !! Filtering will be added later when I have more free time.