Burhan Ahmad Mudassar, Haris Khawar, Haris Sami and Warda Mushtaq students of NUST SEECS stood first in COMPPEC 2012 held in Department of Computer Engineering, College of Electrical and Mechanical Engineering (CEME) on 27th-28th June, 2012.

COMPPEC 2012 WinnerBurhan Ahmad Mudassar, Haris Khawar, Haris Sami and Warda Mushtaq students of NUST SEECS stood first in COMPPEC 2012 held in Department of Computer Engineering, College of Electrical and Mechanical Engineering (CEME) on 27th-28th June.It was the 11th Annual All Pakistan Inter Colleges/Universities Computer Projects Exhibition and Competition, one of the most prestigious national competitions in Pakistan since 2002.

The students had to compete in four different categories namely Electro Mechanical, Information Systems, Information Systems and Digital systems. The projects were adjudged by different universities and industry representatives. Multi-touch Interactive Table Top developed under the supervision of Dr. Khawar Khurshid got first prize in the Digital Systems Category at COMPPEC.

Project Abstract : 

In recent times computers have become faster and have developed the ability to process vast amount of data in a minimal amount of time. This ability has made computers so invaluable that they have become an integral part of our everyday lives. Nearly every profession and business uses computers in one way or another. But computers are still lacking in one department due to which a large human base still remains oblivious to the benefits of a computer. This limitation lies in the interface, the window between the computer and the user which is not very natural. Therefore, the fact remains that using a computer is still hard for quite a lot of people.

This project aims to develop an interface that uses human gestures and motions to interact with the computer.  We aim to develop a framework that will successfully demonstrate the ease of use of such an interface. A table top will be created whose surface will respond to a variety of gestures and touch motions involving multiple touch points instead of the usual mouse point and click. The technique being used to sense touch movements is Frustrated Total Internal Reflection (FTIR), a technique which involves the use of Infrared Light due to its property of being invisible to the naked eye but being visible to a digital camera. Image processing techniques, which involve acquiring the signal from the digital camera and usage of TUIO protocol, will be used to register touch points and different movements and gestures. Multiple applications will be developed demonstrating the natural interface but the main application that is targeted will be a biomedical imaging application which will allow radiologists to piece together data from MRI, PET and CT scans and analyze the scans with little experience in computing.

 

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