Our Projects ....
We consistently work on multiple projects and also participate in many competitions some of which are illustrated below.
We consistently work on multiple projects and also participate in many competitions some of which are illustrated below.
We
are focusing on solving S.L.A.M. problems. SLAM stands for
simultaneous localization and mapping of the robot. At first we are
trying to just map the surrounding using various techniques like
laser scanner, 3D sonar and 2D or 3D camera. Then in the next phase
we would be localizing our car, by car we mean a toy car. Then we
would be combining the localizing and the mapping so we can solve the
SLAM problem. We have starting interfacing the hardware in order to
map the surrounding. The final aim is to build an autonomous toy car
which would replicate the actual real world autonomous car build by
Google with all the criteria scaled down.
In this project we have successfully built a system which continuously monitors the quality of atmospheric air in a particular area and alerts the user with the help of an android application whether it is safe to enter that area or not. This application is very useful to people suffering from different kinds of respiratory diseases like asthma, bronchitis and can even tell that person if the conditions are safe for children accompanying also. It’s a project that comes in the Internet of Things field of emerging technology. The AQMS consists of a set of gas sensors of the MQ series (which includes MQ-7 CO sensor) which is interfaced with an Arduino Uno (it uses Atmega328 microcontroller chip) board. These sensor values are logged into the computer system by using software – Gobetwino. The sensor values are then sent to the server for further processing and checking whether it falls in the optimum level or not. Then results are sent to the mobile application which tells the user according to his GPS location how far he can go in that area and the level of pollution in that particular region. The application will be running in the background when the mobile phone is switched on, it will continuously correlate the GPS location and the level of pollution in that area and alerts the user how safe it is to enter that area. In future we would like to go about with changing the platform to Intel Galileo board where we can utilize its features to optimize our system and implement wireless communication between the sensor and the mobile application.
This device glows a set of LED’s according to the beats present in the music. This is similar to the equaliser present in cars but is slightly different from it in the basic fact that equaliser show the display at random while the glowing of LED’s is linked to the input in this case. This device works by dividing the input audio signal frequency into three bands the high frequency band, the low frequency band and the medium frequency band and glows the corresponding LED’s.
The colour sorter sorts a given set of balls into its corresponding colours. Thus device has been built using the LEGO mindstorms kit. The device can programmed through the Mindstorms IDE. The balls are detected by a colour sensor and moved into place by three servo motors.The programming language used here is embedded c.
An application which helps the citizen's problem reach the government and in turn helps them to get their problem solved.The User-User Recommendation code in python runs at the server side which takes the rating of diff users on a problem and predicts the rating of different users on that problem. This is done by calculating the similarity matrix of a user and hence we recommend the top 3 problems to the users. User-User Recommendation helps to gather votes on a common problem which helps the government to identify important problems.For recommending important problems to the government. We train our Machine Learning algorithm on training data set to predict important problems i.e. the problem which is most likely to gain support. This helps because it takes time for a problem to gather support.
