Abstract:
The currency exchange machine is used to convert one currency to three different currency. It is used for currency conversion. There are approximately around 200+ currencies used in different countries
around the world. It convert Pakistani currency to Omani Riyal, Dollar and Pound. The machine provides change of currency to its user or if needed exchange the currency to other currency options.
When the customer enter the currency through insertion module .The machine check the currency condition. The software used for interface that we are proposing in our project is Matlab that is used
for various currencies such as Omani Riyal, Dollar and Pound. (We are using three currencies in our project). Many times, currency notes are blurry or damaged; many of them have complex designs to
enhance security as blurry or damaged. All the currencies have different security features, so we need to design one efficient algorithm to detect all three with one algorithm. It is a tough job for us to make
one simple algorithm for that. But we need algorithm that could be used for recognition for the
available currencies. We then check for real or fake, if the currency is real then the currency move
forward and if it is fake then the currency roll back from insertion module. This machine can be used
at hotels, malls, Air ports etc. reducing time and cost. The model of currency machine is Implemented
using Arduino. For image capturing camera is used with the module for currency image. Our system
is based on image processing and makes the process easy and user friendly to recognize Currencies.
Our system help in currency recognition and currency conversion to reduce the human power to
recognize the amount of currency and convert it into the other currencies without human supervision.
The software interface that we are using to propose is used for various currencies. We are using tliree
currencies (Omani Riyal, Dollar, and Pound).It is very important to select the right features and
algorithm for this purpose. Our main objective is to design an easy but efficient algorithm that would
be useful for maximum number of currencies, because all currencies have different security features,
it is tough to design, one algorithm that could be used for recognition of currencies.