Currency Nominal Detection With Tempalate Matching Method To Help Turnanetra

This research aims to design and implement a currency nominal detection system using the template matching method, how accurate and effective the template matching method is in detecting currency nominal from various lighting conditions and viewpoints and how to detect currency nominal through web-based applications. This research uses descriptive quantitative research with the R&D (Research and Development) approach method. Data collection methods in this research are literature study and observation. The system development method in this research is planning, data collection, needs analysis, system design and system testing. The results showed that the way the application works is that users can use a laptop camera or directly select an image of Rupiah money to detect its nominal value. The application of currency nominal detection with the template matching method to help the visually impaired in this study was built using Visual Studio Code software using the Python programming language. User interface is the appearance of the programme that can be seen, heard or perceived by the user and the commands or mechanisms used by the user to control operations and enter data. It can be concluded that an application has been produced that is built using Visual Studio Code software with the Python programming language to be used in the nominal detection process of rupiah currency banknotes using the template matching method effectively and accurately used and the nominal detection process of rupiah currency banknotes can be done through a webcam or by selecting images of money contained in laptop storage.