CH.SRINIVASA RAO
H.No:1-87/2,
Chimalamarri (P),
Mobile : +91-9989934671
Nakarikallu (M),
E-mail : cherukuri444@gmail.com
Guntur –522615.
_____________________________________________________________________________________

Objectives
To provide a dedicated approach in the assigned projects for enhancing my skills and benefit the
organization with diligence.

Education
Qualification
B. Tech
Electronics and
communication

University
SSJ Engineering College, JNTU

Year Completed
2013

Percentage
76

Intermediate

Gowtham Junior College Guntur

2009

92.4

SSC

Z.P.H.S Kandlagunta

2007

85.5

Technical Skills
•

Programming languages

:C

Projects handled
Project 1:
Title
: Intelligent metal detection robot
Description
: The present invention provides a simple and relatively low cost way of
performing a metal or bomb detection test on the test system to determine whether or not the system is
subject to bomb explosion. The metal detector will be fixed in the predetermined area to check the
possibility of a metal or a bomb. If there is an existence of metal in that area, the metal detector identifies
the metal and intimates this to the controlling unit. Since the human cannot enter into the area where there
the bomb or metal is present, a Robot is employed to move in the simulated environment and
continuously monitor the status of the metal detector in that particular area. The system is entirely an
automated design. The microcontroller plays a vital role in this project. The controlling section will be
fixed to the robot. The controlling contains the micro controller, metal detector and the buzzer circuit. The
microcontroller continuously monitors the output of the metal detector. If any metal is found, the metal
CH SRINIVASA RAO
detector recognizes it and its output changes immediately. The microcontroller detects this and
immediately alerts the buzzer.

Project 2:
Title

: Fingerprint image enhancement algorithm and its performance
evaluation using STFT
Description
: Contrary to popular belief, despite decades of research in fingerprints, reliable
fingerprint recognition is still an open problem. Extracting features out of poor quality prints is the most
challenging problem faced in this area. This paper introduces a new approach for fingerprint enhancement
based on short time Fourier transform (STFT) Analysis. STFT is a well-known technique in signal
processing to analyze non-stationary signals. Here we extend its application to 2D fingerprint images. The
algorithm simultaneously estimates all the intrinsic properties of the fingerprints such as the foreground
region mask, local ridge orientation and local ridge frequency. Furthermore we propose a probabilistic
approach of robustly estimating these parameters. We experimentally compare the proposed approach to
other filtering approaches in literature and show that our technique performs favorably.

Strength
• Good communication skills
• Diligent
• Leadership qualities
• Quick learner
• Team player

Achievements
• Attended one day workshop on Entrepreneurship Development conducted by National Small
Industries Corporation Limited at SSJ Engineering College
• Participated in two day workshop on Nanotechnology and Applications conducted at SSJ
Engineering College
• Participated in NSS camp held in village Khanapur conducted by SSJ college

Personal details
•

Date of birth

:

05 APRIL 1991

•

Languages

:

English, Telugu

•

Hobbies

:

Playing Cricket, Reading News paper, etc.

References
Available on request
CH SRINIVASA RAO
I further add that if given a chance I shall not leave any stone unturned to prove my ability and
try to prove an asset to the organization.
Place: Hyderabad
Date:

Ch. Srinivasa Rao

Resume

  • 1.
    CH.SRINIVASA RAO H.No:1-87/2, Chimalamarri (P), Mobile: +91-9989934671 Nakarikallu (M), E-mail : cherukuri444@gmail.com Guntur –522615. _____________________________________________________________________________________ Objectives To provide a dedicated approach in the assigned projects for enhancing my skills and benefit the organization with diligence. Education Qualification B. Tech Electronics and communication University SSJ Engineering College, JNTU Year Completed 2013 Percentage 76 Intermediate Gowtham Junior College Guntur 2009 92.4 SSC Z.P.H.S Kandlagunta 2007 85.5 Technical Skills • Programming languages :C Projects handled Project 1: Title : Intelligent metal detection robot Description : The present invention provides a simple and relatively low cost way of performing a metal or bomb detection test on the test system to determine whether or not the system is subject to bomb explosion. The metal detector will be fixed in the predetermined area to check the possibility of a metal or a bomb. If there is an existence of metal in that area, the metal detector identifies the metal and intimates this to the controlling unit. Since the human cannot enter into the area where there the bomb or metal is present, a Robot is employed to move in the simulated environment and continuously monitor the status of the metal detector in that particular area. The system is entirely an automated design. The microcontroller plays a vital role in this project. The controlling section will be fixed to the robot. The controlling contains the micro controller, metal detector and the buzzer circuit. The microcontroller continuously monitors the output of the metal detector. If any metal is found, the metal
  • 2.
    CH SRINIVASA RAO detectorrecognizes it and its output changes immediately. The microcontroller detects this and immediately alerts the buzzer. Project 2: Title : Fingerprint image enhancement algorithm and its performance evaluation using STFT Description : Contrary to popular belief, despite decades of research in fingerprints, reliable fingerprint recognition is still an open problem. Extracting features out of poor quality prints is the most challenging problem faced in this area. This paper introduces a new approach for fingerprint enhancement based on short time Fourier transform (STFT) Analysis. STFT is a well-known technique in signal processing to analyze non-stationary signals. Here we extend its application to 2D fingerprint images. The algorithm simultaneously estimates all the intrinsic properties of the fingerprints such as the foreground region mask, local ridge orientation and local ridge frequency. Furthermore we propose a probabilistic approach of robustly estimating these parameters. We experimentally compare the proposed approach to other filtering approaches in literature and show that our technique performs favorably. Strength • Good communication skills • Diligent • Leadership qualities • Quick learner • Team player Achievements • Attended one day workshop on Entrepreneurship Development conducted by National Small Industries Corporation Limited at SSJ Engineering College • Participated in two day workshop on Nanotechnology and Applications conducted at SSJ Engineering College • Participated in NSS camp held in village Khanapur conducted by SSJ college Personal details • Date of birth : 05 APRIL 1991 • Languages : English, Telugu • Hobbies : Playing Cricket, Reading News paper, etc. References Available on request
  • 3.
    CH SRINIVASA RAO Ifurther add that if given a chance I shall not leave any stone unturned to prove my ability and try to prove an asset to the organization. Place: Hyderabad Date: Ch. Srinivasa Rao