General Remote Control Based on Hand Patterns Detection Using Convolutional Neural Network

Peneliti

Jana Utama, M.T, S.T

Deskripsi/Abstrak

The main hardware of this system consists of computer that contains a program with trained Convolutional Neural Network (CNN) model and Node MCU that contains data base of infrared signals of the remote that its function we want to replace. Using camera, computer will read the hand gesture and the hand gesture will be classified using trained CNN model. Each of hand gesture represents infrared pulse in the data base program in Node MCU. There are 4 hand patterns that represent commands in this proposed system.