IndianCurrencyNotesDetection

A web application made for Indian Currency Notes Detection using YOLOv5.

In India, Indian Currency Recognition System currently uses CNN and OpenCV based recognition systems to detect currency notes. This model has lower detection accuracy than the proposed system which uses YOLOv5 for object detection.
Our App also serves the tourists and other foreigners in India to know the currency they possess which also helps them from fraudsters.
Our app also provides audio outputs which helps Visually Impaired people.

Text-Editor: VScode/SublimeText/VS (any modern editor)
Python >= 3.7
Git >= 2.25.1 (Not mandatory)
Linux/Windows (Currently, pytorch is not available for macOS).
For Windows users install torch from here and configure it using this link.
Instead I recommend to use wsl(Windows Subsytem For Linux). Find here for installation which provides Linux CLI.
For Linux OS, it is installed in command line during installation using requirements.txt

Visit Git repository from here
You can download code in zip format from above link or Run git clone https://github.com/Gowtham-369/IndianCurrencyNotesDetection.git within terminal/CMD
Create a virtual env for this project using this link and this link and activate virtual environment for this project
Open terminal/CMD in current working directory
Now, Install dependencies using pip install -r requirements.txt . Ensure successfull installation of all dependencies
Now, type ipconfig/ifconfig in windows cmd/linux terminal respectively. Copy and paste ipv4 address in the url value in line number 19 of ajax call in index.js file
Run python3 app.py in terminal/cmd
Now, flask localserver opens up in console, click it. Boom! 🌟 😂 Go to webpage directed from localhost and run your app.
To use web app on your mobile, connect the mobile to the same wifi/ethernet to which Computer is connected and open the same url in Modern Browsers like Chrome/FireFox/MSEdge/Safari.