Technology is continuously changing the trends in the entire world. The accessibility of mobile phones and internet has become available to the people in poor countries also. With this, the pace of technological change has become devastating. New technologies have changed the lives of many people.
These technologies will lower down the barriers that disabled people encounter in their daily lives like traveling, speaking, reading and writing. We at Arya College are focusing on creating such technology that could help every community of the society. Students of Mechanical Engineering are mainly concentrating on helping others through their innovations and technology.
Professionals have developed the best wearable technology for the blind people and provide them a different experience so that they can easily interact with the environment. Without any help of an eye, a blind person can see anything and everything very easily.
This technology has the capability to translate the data or the information to the tongue of the user from a digital video camera by using small electric simulations. Or in other words, it is a type of camera in which image is transformed to something, which a user can feel and see inside their heads. That is why; it is mainly concerned and focused on the blind people.
The device directly sends the visual input by making use of tongue and allows them to see in the same manner as seen by the normal individual. The receiving of visual input through eyes is known as Brain port vision Device. It provides a limited form of sight to the people who are visually impaired. For the production of tactile vision, Brain port makes use of the camera and captures the visual data.
The received optical information is considered as the light that hits the retina and picked by the camera in the digital form. It also uses various different radio signals for the purpose of sending ones and zeroes to the CPU for encoding it.
Each set of pixels present in the light sensor of the technological camera corresponds to the electrode in the array. The CPU then runs a program and turns the electrical information of the camera into the spatially coded signal. The encoded signal will represent the differences found in the pixel data similar to the differences found in pulse characteristics like duration, frequency, and amplitude.