RATIONALE

amar oitijjho

This project aims to develop an Android smartphone application that can recognise Taka banknote photos and display a corresponding 3D model on the mobile screen using augmented reality. The anticipated outcome is that the 3D model can be placed on any flat surface to provide a realistic appearance. The application can be summarised in three stages: creating an AI model, creating an endpoint to receive relevant information about an image being captured, and finally connecting the result of the second section to anAugmented reality engine (ARCore/Vuforia) to display the 3D model on mobile screens. The first phase of development is collecting real world imagery of bank notes that the intelligent system will use to identify them. Through the collection of information, a comprehensive image library should be compiled, including photographs of 10, 20, and 100 taka banknotes captured from different camera angles and under varying lighting circumstances. More photos can be added at any time, and the AI model can be retrained multiple times to improve overall accuracy. The picture dataset will be utilised to train and evaluate the intelligent model. Convolutional Neural Network, which has an excellent track record for picture recognition, might be an acceptable choice for this purpose. Once the model has been constructed, we can go on to the second stage, which entails establishing a dictionary to label photos with the required names so that the AI system can recognise an image and deliver a result indicating what image it has detected. The dictionary's provided data will then be transferred to the developed augmented reality framework to display the required 3D model.