CURRICULAM VITAE

M.V.S.Mahendra Reddy

S.R.Nagar, Hyderbad-38 E-mail:

acfatv@r.postjobfree.com

Andhra Pradesh, India. Phone: +91-846*******

Objective:

To work in an organization that utilizes my strong analytical and

programming skills adding value to the organization and myself

Education:

COURSE PLACE INSTITUTION YEAR OF PERCENTAGE

PASSING

M.Tech Hyderabad MallaReddy College 2014 70%

of Engg& Tech

(JNTU H)

B.E VANDAVASI Thiruvalluvar 2011 63%

(Chennai) College Of

Engg&Tech

(ANNA University)

INTERMEDIATE THIRUPATI Rayalaseema 2006 70%

Jr.College

Kiran English 2004 69%

SSC THIRUPATI Medium High School

Strengths:

> Adaptability

> Flexibility

> Optimistic

> Hard working.

> Self Motivated

Weakness:

> I can't say no when someone ask for help

> I am a bit lazy about which i am not interested.

Technical Skills:

Operating System Win 9X, Win XP, 2003

Languages MS Office, SQl

Academic Project 1:

Project Title: Fingerprint Based On the Watermarking Concept. Doing in

Chennai.

Brief Overview of Project:

This project titled Fingerprint Based Digital Content Protection Using

Watermarking Concept using Bluetooth and is done in MATLAB software and it

is a real-time project.

The scope of this project is to protect the data during transmission

from one system to another system either wired or wireless using

watermarking concept. The data which is going to transmit is merged with

the fingerprint of authorized person using watermarking concept, which

result in Data with Fingerprint. This result is watermarked with cover

image and then final result will be visible same as cover image.

Academic Project 2:

Project Title: Detection and Classification of Vehicles from Video Using

Multiple Time- Spatial Images. Doing in Hyderabad.

Brief Overview of Project:

Detection and classification of vehicles are two of the most

challenging tasks of video-based intelligent transportation system.

Traditional detection and classification methods are computationally highly

expensive and become unsuccessful in many cases such as occlusion among the

vehicles and when differences between pixel intensities of vehicles and

backgrounds are small. In this paper, a novel detection and classification

method is proposed using multiple time-spatial images (TSIs), each obtained

from a virtual detection line on the frames of a video. Such a use of

multiple TSIs provides the opportunity to identify the latent occlusions

among the vehicles and to reduce the dependencies of the pixel intensities

between the still and moving objects to increase the accuracy of detection

performance as well as to achieve an improved classification performance.

In order to identify the class of a particular vehicle, a two-step k

nearest neighborhood classification scheme is proposed by utilizing the

shape-based, shape-invariant, and texture-based features of the segmented

regions corresponding to the vehicle appeared in appropriate frames that

are determined from the TSIs of the video.

Extensive experimentations are carried out in vehicular traffics of

varying environments to evaluate the detection and classification

performance of the proposed method, as compared with the existing methods.

Experimental results demonstrate that the proposed method provides a

significant improvement in counting and classifying the vehicles in terms

of accuracy and robustness alongside a substantial reduction of execution

time, as compared with that of the other methods.

Personal Profile:

Name : M.V.S.Mahendra Reddy

Date of Birth : 24-06-1988.

Father's name : M.Sambamurthy Reddy

Sex : Male

Marital Status : Single

Languages Known : English, Telugu

Nationality : Indian

Permanent Address : 7-1-198, Gandhi Nager, Sidhavatum Road

Badvel, Kadapa (Dist), Andhra Pradesh

Pin - 516227

Declaration:

I hereby declare that the above mentioned information is true to my

knowledge and up to date. If appointed in your esteemed company, would work

with dedication and prove myself as a committed member.

Date:

Place: (M.V.S.Mahendra Reddy)

Contact this candidate