embedded systems

POLISETTY VIJAYDATTU

Hyderabad, TS +919********* *************@*****.***

Seeking a challenging position to utilize my skills and abilities in a company that offers a professional growth while being resourceful, innovative and flexible and contributing my work to the opportunity provider.

2016 - 2018

2012 - 2015

2009 - 2012

2008 - 2009

M.E

Karunya Institute of Technology and Sciences / Karunya University,TamiNadu.

Embedded Systems

B.E

Methodist College of Engineering and Technology / OU. Electronics And Communication Engineering

DIPLOMA

KLR Rural Polytechnic College of Engineering, SBTET, T.S. Electronics And Communication Engineering

SSLC

SNM ZPHS High School, Bhadrachalam, State Board, T.S. TECHNICAL PROFICENCY

MCS51 Derivatives.

Microchip PIC 8 Bit Microcontroller

MPLAB IDE v7.40,AtmelStudio 6.0

KEIL IDE μVision3 V3.33,

Proficient in ORCAD 9.2, EAGLE.

Peripherals interfacing like (Serial EEPROM, RS232). Hands on Experience in I2C, SPI Communication Protocols. Potent Ideas in micro controller digital circuit design. Knowledge in RFID, GSM.

TOOLS

Matlab, Matlab Image Processing Toolbox, Labview, Pspice, ADS, Keil, Xilinx, Proteus PROGRAMMING LANGUAGE

C, C++,Embedded C.

hybrid human recognition system for

surveillance. A Cascade Head–

Shoulder

Detector (CHSD) with human body

model is proposed to find the face

region in a surveillance video

frame image. The CHSD is a chain of

rejecters which combines the

advantages of Haar-like feature and

HoG feature to make the detector

more efficient and effective. For

human recognition, we introduce an

Overlapping Local Phase Feature

(OLPF) to describe the face region,

which can improve the robustness to

pose change and blurring. To well

model the variations of faces, an

Adaptive Gaussian Mixture Model

(AGMM) is presented to describe the

distributions of the face images. Since

AGMM does not need the

facial topology, the proposed method

is resistant to face detection error

caused by imperfect localization

or misalignment. Experimental results

demonstrate the effectiveness of the

proposed method in public

dataset as well as real surveillance

video

Objective

Education

Skills

ACADEMIC PROJECTS

Project Title: IOT based

human face

authentication &

recognition in video

surveillance

https://www.visualcv.com/vijayduttp

PROCESSOR & CONTROLLERS

Microprocessor 8086, Microcontroller 8051, Atmega128, Raspberry pi3, Arduino Uno.

OPERATING SYSTEM

Windows, Linux,Respbian

Co Organised Mentor tour to, “Kunda hydro electric Power House”,Ooty Co Organised Industrial Visit trip to, “Cranes Versity”, Bangalore New technologies in Embedded domain.

Singing and music.

Dancing.

Football

Telugu (Mother tongue), English and Hindi,Tamil(Proficient) and Malayalam,Kannada(Beginner)

I hereby declare that the above mentioned details are true to the best of my knowledge.

Thanking you,

Yours faithfully,

(P.VijayDattu).

INDUSTRIAL VISIT

HOBBIES

LANGUAGES KNOWN

Declaration

https://www.visualcv.com/vijayduttp

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