Students Projects 2017

:: Hand Talk ::

A flex sensor glove is developed to perform hand-gestured sign language which will convert it into speech or written in display so that normal people can easily understand. This product can be used by the deaf or dumb people.
This project presents the development of a flex sensor glove. The objective of the project is to develop a cheap prototype of a glove that can recognize hand-gestured American Sign Language and be used by disabled people in order to communicate with the general public. 
A normal woollen glove fitted with flex sensors along the length of middle finger, index finger and the thumb. The Analog outputs from flex sensors are processed in the Arduino Uno microcontroller board based on ATmega328P. When the gesture of a word or phrase is made the digital data is transmitted then received at receiver side, and corresponding word is shown in the LCD.

Team : Adwitiya Das, Sweta Pramanik, Somosri Mukherjee, Aruna Mitra - 3rd Year CSE
Faculty In-charge : Mr Suvanjan Bhattacharyya, ME Department


 

:: Non-corruptible EVM ::

Electronic Voting System which will reduce false voting to a maximum extent and can be implemented for all kind of voting purpose. A finger print scanner compares the fingerprints of the voter with respect to the stored data and permits to vote in case vote is not given earlier by the same voter.
The main problem of EVM in modern day world is the amount of 'fake voting' that takes place. Our proposal is to incorporate a finger print scanning along with checking the authenticity before the person actually votes. Initially we will have a database where the fingerprints of the person will be stored. During the actual voting process, the person's fingerprint will be matched with that in the database, and then only the EVM will become active. If a person will try to give a vote for a second time, an alert will be generated. This will reduce false voting to a maximum extent.

Team : Subham Saha, Debojyoti Dey, Dipankar Sinha (all 4th Year CSE) and Ishani Basu, Saptarshi Baishya (all 3rd Year CSE)
Faculty In-charge : Ms Soma Bandyopadhyay, Prof S. S. Thakur - CSE Department

 

 

:: Self Defence Wrist Watch ::

In today’s world, women, small kids, as well as aged people are tortured physically as well as mentally everywhere. Therefore, personal security has become a serious issue.  Self Defence Wrist Watch when activated tracks the appropriate location with latitude and longitude of the victim using GPRS. After that it sends a SOS massage along with victim’s position as Google URL using GSM (Global System for Mobile communication) to some saved contacts in the wrist-watch and the police control room. This will be a safety device to the people in case of danger or emergency situation.
Nowadays, many applications has been launched regarding anyone’s safety but mainly used in smart phones and smart watches which are of very high cost also. Here a simple wrist watch is being used which will take less time to operate with respect to smart phones. So in critical condition, when there will be no time to take out the smart phone this wrist watch will be helpful to the victim.

Team : Sangeet Show, Sauryadeep Chowdhury (3rd Year ME) and Anwesha Chakraborty (3rd Year CSE)
Faculty In-charge : Mr Suvanjan Bhattacharyya, ME Department

 

 

:: Smart Cap for Blind People ::

A smart cap is developed for the blind person to facilitate in appropriate navigation. As the obstacle is detected by the sensors, it sends the distance, between the obstacle and the sensor, to the device which generates an automated voice in the earphone connected to the person's ear.
Blind mobility is one of the major challenges encountered by visually impaired persons in their daily lives. The life of blind people and their activities are greatly restricted by loss of eyesight. They can only walk in fixed routes using blind navigation system or by their accumulated memories in their long term exploration.
The main objective of the project is to develop a low cost, reliable, portable, user friendly, low power and robust solution for smooth navigation. Our project "Smart Glasses for Blind People”, as meant, the glasses are for visually impaired people. It has an in-built sensor which spreads ultrasonic waves in the direction the person is going by scanning at most 4-5 meters. As the obstacle is detected by the sensor, it sends the distance, between the obstacle and the sensor, to the device which generates an automated voice in the earphone connected to the person's ear.

Team : Abhishek Sarkar (4th Year ECE), Ankita Bhunia (3rd Year ECE), Deb Kumar Maity (3rd Year ME)
Faculty In-Charge : Mr Ajoy Ghosal, Mr Arijit Sen - ECE Department