This is a semester project at Aalborg University. This tool was built with the mindset of giving blind or visually impaired people an ability to tell USD banknotes apart. As this is a desktop application, built for Windows, we recognize that this program does not solve the issue at hand fully, but it is a start.

Plain and simple, just clone the repository, and open SiftSharp.sln.

This project uses the following external libraries, which have their own licenses:

• Supercluster.KDTree [MIT]
• DirectShowNet [GNU]
• NUnit 3 [MIT]

Contributions will be only be accepted in pull requests. These pull requests need oblige to our standards, or else requests to change parts of the code will be submitted. Our idea of a good pull request is described below:

• Use default MSDN coding style (this includes PascalCase for methods).
• Great doumentation of code.
• Give a short, clear title that describes pull request.
• Make limited use of var in your code.