COMPARING HAAR/LBP CASCADE AND CONVOLUTIONAL NEURAL NETWORK(CNN) AS TRAINING IMAGES METHODS FOR FACIAL RECOGNITION TO COMMUNICATE WITH THE DISABLED

Abstract

In this new era, people cannot escape technology, as it is already lived in their daily life. Its growth is increasing quite rapidly and also affects human activities. As they all know, technology is mainly dedicated to assist people. Scientists and experts have developed innovations to improve their human life. Take an example, disabled people may cause some accidents in the road when they walk around. This is where the technology comes; disabled people need assists from some robots with programmable software. From this, many people will be assisted and treated with easiness and simplicity from technology, especially from the disabled ones. When blind people try to explore some places, they usually need to bring a stick or a helping pet to guide them anywhere they can go. However, in this modern era, everything is always connected with devices and technologies. Therefore, both of the guiding method is starting to fade out along with time. People do not want to buy guiding sticks and easily lost them, also for the guiding pet, they are not very capable to feed the hungry pets, so that is not quite appropriate method nowadays.