Currency Detection App for Blind People Using MIT App Inventor
S. Sangeetha, T. Porselvi, A Venkateshwaran, M. S. Gokul, I Sathmikan, Prince Kumar · 2022
This paper helps the visually impaired people to identify the currency notes using an app built using MIT app inventor. The user has to press the shutter button in order to identify the amount of the currency being scanned. The output of the app is a voice command that will help the blind people to identify the amount. This paper makes use of the artificial intelligence tool to classify the image and gives the output. The artificial intelligence uses the image classifier to classify the image.Normally, the image classifier takes the input given the user and classifies the given input and gives the output.Here, the input given is the currency notes of different values so that the image classifier classifies the input and gives the output. This paper uses personal image classifier model to classify or detect the captured image.Here, the captured image in indian rupee note. This personal image classifier consists of four steps.