Wireless Smart Home System

The advancements in the every field are increasing day by day especially in medical filed such as in x-ray vision according to which now we could be able to see through wall by the researchers. It has long been a science fiction fantasy for us but it has come true by the researchers.

This project of the all cbse school in Mansarovar is known as RF-Pose that uses artificial intelligence in order to teach wireless devices for sensing the postures and movements of the people from the other side of wall. For this purpose, the researchers are using neural network so that it could analyze the radio signals which bounce off people’s bodies as well can create a dynamic stick figure which can walk, stops and moves its limbs as soon as the person performs its functions.

According to the team, this system can also be used in order to monitor diseases as well as to provide a better understanding towards disease progression. It allows doctors in order to adjust the medications accordingly. It is very helpful for elderly people in living more independently at the time of providing the added security to monitor for falls as well as injuries and changes in activity patterns.

The researchers are working with the doctors in order to explore the multiple applications in the healthcare. A window into their life is being given by monitoring the walking speed and ability to do basic activities of patients on their own. It could be meaningful for a whole range of diseases as well as it is an essential advantage of their approach which is that patients do not have to wear sensors or remember to charge their devices.

Along with the health care, this technique of the Web Designing Company Jaipur can also be used for the new classes of video games where the players can move around the house in order to locate survivors. These kinds of wireless technologies will help in powering the homes of the future.

One problem that researchers had to face that most of the neural networks have been trained by using data labeled by hand in order to identify the cats for example as it requires that people look at a big dataset of images as well as label each one as cat or not cat.