High School Project

F T-*, Star Tower,

RPD Cross,

Tilkawadi,

Belgaum-590006

Cell No: +91-973*******

Email:

***.*******@*****.***

Objective:

To work in an enthusiastic and challenging environment that facilitates the transformation of

academic knowledge into professional ability and in the process enables value addition to the

organization and society

Areas of interest:

• Analog Electronics

• Digital Electronics

• C- language

• Power electronics

Strengths:

• Hard work and commitment

• Ability to learn and grasp quickly

• Coordination and decision making in team activities

Educational Qualifications:

COURSE SCHOOL/COLLE BOARD/UNIVERS YEAR PERCENTAG

GE ITY E

B.E (ECE) Gogte Institute Of VTU 2014 64

Technology,Belgau

m

10+2 PM High School, CBSE 2010 60.2

Patna

High School B.D Public School, CBSE 2008 74.6

Patna

Project and training:

• Project on “Ultra Sonic Based Distance Measurement system”.

• Project on “Radio with no external power source”.

• DESIGN OF SENSOR IN VEHICLE TO VEHICLE COMMUNICATION IN PROGRESS.(Please

find detail of this project after hobbies)

• Internship at BSNL,BELGAUM

• MATHEMATICAL PROOF OF SINӨCOSӨ=1, RANGE 0 Ө using concept of power

radiated from isotropic antenna.

• To count number of object present in certain Gaussian area using image processing,

expand it to traffic control system. (please find detail of this project after hobbies)

Other Certifications and skills:

• Langages : C, HDL,VLSI

• Simulation Tools : Keil, Multi Sim &Matlab, Ms-Word, solid edge

• Operating system : xp, window 7

Achievements:

• Presented a technical paper on “A STEP TOWARDS SAFETY TO INDIAN RAILWAY” in

AVALANCH 2012, a National level tech-fiesta in the college.

• Presented a paper on “VEHICLE TO VEHICLE COMMUNICATION(V2V)” in

AVALANCHE 13+, a National level tech-fiesta in the college.

• Won the award for “Best paper prize” in AVALANCHE 13+ for (V2V) Design.

• Runner-up for “quizzard” in Panchjanya 2014, a National level tech-fiesta conducted by dept.

of electronics and communication.

Extra-curricular activities:

• Presented a report on amount of hardness present in “malaprabha” river.

• Participated in inter-departmental cricket tournament in the college.

Personal Details:

• 25st Feb 1993

Date of Birth:

• Father name: Akhilesh Prasad Singh

• Nationality : Indian

• Language known: English, Hindi

Hobbies:

Cooking, surfing net, conversation with friends, watching movies, Travelling, research on geography

based topics.

To count number of object present in certain Gaussian area and

further expanding to traffic control system

D1p, D2p, D3p, D4p are image processing sensor

Highest number of object counted in any of the four sensors will allow the signal of traffic to

be green for that sensor.

D2p>D3p>D1p>D4p,here D2p will make signal green for lane D3.

In next pass D2p will become inactive and sensor once again start its process

D3p>D1p>D4p,will make signal green for lane D3.

In next pass D3p will become inactive and D1p,D2p,D3p will become active.

Process involved in counting people

Image Acquisition

Images are first required in RGB24 format at 320x240 pixels. Then the image is pre-processed by

transforming it to gray-scale image. This transform is easy and just consists to take the average of the

three channels of each pixel.

Frame Differencing

The first step of object counting algorithm is important and consists to make pixels by pixels

absolute difference between two consecutive frames. The result of this operation is a new image that

shows all the difference between these two frames.

Background Estimation

The background estimation algorithm makes a reference image which represents the background part

of the scene view. The background image is fundamental to detect moving object and tracking them

and will be used to separate the background and foreground. To avoid the maximum effect of the

noise pixels, a median filter is applied between five consecutive frames in order to obtain good

estimation of model.

Background Subtraction and Segmentation

Once the background estimation is completed the algorithm is used to separate the foreground and

background. This process is very close of frame difference algorithm but not exactly the same. The

object counting system uses the background subtraction step to detect object of the foreground and

frame difference to detect motion.

Tracking

Once the segmentation is done, an another image processing must be launched in the binary image.

In fact, in order to track object, the first to do is to identify the entire object on the sense and

calculate all their features. This process is called blob analysis,

It consists to take analysis the binary image, find the entire blob

present and compute statics for each one. Typically the blobs feature usually calculated are area

parameters location and blob shape. In this process it is possible to filter the different blobs by their

features,

Two different ways of connection can be

defined in the blob analysis. One consists to take the adjacent pixels along the vertical and the

horizontal as the touching pixels and other including diagonals adjacent pixels.

Counting

Using certain software and new thesis. Note to be disclosed at moment.

VEHICLE TO VEHICLE COMMUNICATON

Car talking to car, vehicle talking to vehicle how it help in preventing accident is carried out in my

technical paper. Here is summery of my paper.

My idea will deal with design of sensor, how it helps in v2v

communication. No doubt this idea is very new to India but could be herd in western countries.

DSRC is no-doubt the best technology used today; it has some limitation which could be

removed. Present model of v2v did possess some limitation-

(1) No solution for different lane and trajectory to be differenced from each other.

(2) Delay time generated by sensor in transmission and reception can be reduced.

(3) For vehicle travelling in curvilinear path possess difficulty in transmission and reception of

signal.

The newly model for which I possess some mathematical calculation satisfies-

Solution to above mentioned problem-

(a) The newly design method would overcome the problem of detecting lane and trajectory.

Length of emission(d NfxL+BA)4.038217952)/(KtL-B)

Nf=Kf

Nf=frequency of slot

K=constant of commit(value not disclosed at moment)

F=frequency of source emitter

L= Lambrado length of emission(value not disclosed)

B= (A+C)

=(Speed of vehicle a + speed of vehicle b)

=unit (m/s)

Nf= frequency at which slot will transfer to wireless medium

A=Convilence range

=(speed in km/hr)+(1/2 speed in km/hr)/speed of vehicle of 1km/hr

Kf= kittors frequency

Kf=Nf/10

Kf=(frequency of slot/value not disclosed)

Limons constant

(b) The delay time could be further reduced by some mathematical calculation-

D (delay waiting time)=(1/E-A)+(1/E)

A=Sum of ewm’s delivered delivered from each individual vehicle.

(1/E) channel emission rate value not disclosed

© Inclusion of camera when connected with sensors would further prevent car from going out lane,

when there is some carelessness done by driver.

Contact this candidate