I. Mohammed Elias
No: 1, New Street,
To work in a firm with professional work driven environment where I can utilize and apply my knowledge and skill which would enable me as a fresh graduate to grow while fulfilling organizational goal.
Jeppiaar Maamallan Engineering College
6.02(with standing 2 arrear)
Bharathidasan Higher Secondary School
Anne Marie Matriculation School
Area of Interest:
2.Electronic Device and circuits
1.Platform: Windows XP/ Window Vista/ Window 7
3.Package: MS Office
4.Software: Mat lab
All India Radio, Chennai.
PLC Technologies, Chennai.
Attended workshop on “Design of Smart Antennas using HFSS and ADS” at JeppiaarMaamallan Engineering College.
Attended workshop on “Researh opportunities in Architectural Design of 5G networks” at Velammal Engineering College.
Attended Third international conference on "Innovative and Emerging Trends in Engineering and Technology" at Panimalar Institute of Technology.
certified in ASP.NET and SQL in NIIT
Academic Project details:
Title: “QR code for safety and security applications”
Vehicle security is a major feature that is making advancement as any other body domain feature in automotive industry. In case of losing or misplacing the car keys, one faces difficulty in accessing the car. In this work, an embedded system is designed and implemented that provides key-less unlock feature using a smart phone while preserving security. This paper details the functionality aspect of the embedded system implemented to control the vehicle doors using existing gadgets and apps: QR code, mobile Bluetooth and Android application. This system provides security against unauthorized access to the car by providing a three level security.
Title:”Advanced smart home security alert system”
An internet of things is joined with computer version in order to detect the faces of pepole.For this purpose to execute this system a credit card size computer that utilizes its own camera board for the security system such as raspberry pi 3 utilized.Likewise,passive infrared sensor mounted on the Raspberry pi is utilized to detect any movements.So it helps to monitor and get notifications when motion is identified,captures the image and detect the faces,then sends images to a smartphone via utilizing telegram application.IOT Iis based on telegramapplication used to see the activity and get notices when movement is detected.
I hereby declare that all the details furnished above are true to the best of my knowledge and belief.
Place : Yours truly,
Date : MOHAMMED ELIAS.I