whyhowwhat. rimsha aslamgishkori muhammad ali shahzad

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”Aiming Automation In an “Artillery gun” Why How What

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Page 1: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

”Aiming AutomationIn an “Artillery gun”

WhyHowWhat

Page 2: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Group

Rimsha AslamGishkori

Muhammad Ali Shahzad

Page 3: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Agenda

1. Abstract.2. Originality3. Scientific Domain4. Technology5. Industrial Edge6. International Edge7. Major Functions

Page 4: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Abstract

• The first world countries have made extraordinary advancements in research and development of sophisticated artillery armaments.

• The group intends to take an initiative towards creation of refined artillery weapon systems.

• The weapon will consist of 3 major components which are– Gun– Sensor (High definition camera)– Lasers.

Page 5: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

• Camera mounted on the gun will be taking images of the environment which will be processed to detect human.

• After successful detection the system shall process the image to identify from features already stored in database the person whether he’s potential suspect.

• Where ever the culprit travels in the scope of camera he will be tracked and remain highlighted.

Page 6: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Track while scan

• The track while scan (TWS) is a mode of radar operation in the aircrafts. In track while scan the radar allocates part of its power to tracking the target or targets while part of its power is allocated to scanning.

• Same concept will be altered in this device, while tracking the target the scan for new potential targets will be carried out in parallel.

Page 7: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

1. Foreign Universities

Originality

Abstract + Originality = Science

UK

Germany

CA, US

CA, US

REALISTIC+CREATIVE

Page 8: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Professor Tim Cootes• Development of statistical models of facial

appearance and behavior• Development of efficient algorithms to match

such models to images and image sequences• Development of face recognition algorithms

using such models

Page 9: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

“Dr David Cristinacce”• Development of efficient face location and

facial feature location algorithms to track human faces in cars. The final aim being automatic monitoring of driver behavior, e.g. detecting erratic movements or sleepiness, as part of an intelligent in car vehicle system.

Page 10: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

• In research project group developed a biologically inspired miniature sensor system for real time visual object tracking while utilizing only minimal computation resources.

Page 11: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

• Automatic Equation Solver and Graph Plotter

• Optical Music Recognition Implementation

and Application

• Fingernail pain

• Detection of vehicular distance on the

windows phone.

Page 12: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

• Automated, Scalable, Airborne Only, 3D Modeling– Min Ding, Kristian Lyngbaek and Avideh Zakhor

• Fast 3D City Model Generation – directed by Prof. Avideh Zakhor

Page 13: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

2. National Universities

Originality

Abstract + Originality = Science

Islamabad

Islamabad

REALISTIC+CREATIVE

Page 14: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

3. NASA

Originality

Abstract + Originality = Science

REALISTIC+CREATIVE

Page 15: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad
Page 16: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

4. DARPA (Defense Advanced Research Projects Agency’s )

5. TP Logics

Originality

Abstract + Originality = Science

REALISTIC+CREATIVE

Page 17: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Project 1:the useful range at which target recognition and identification

can be performed in the presence of atmospheric turbulence.Selects the best image with minimal atmospheric turbulence

and combines the images closest to it generates better quality images from real time video frames.

Project 2:MILITARY IMAGING AND SURVEILLANCE TECHNOLOGY (MIST)provide high-resolution 3-D images to locate and identify a

target at much longer ranges than is possible with existing optical systems.

DARPA

Page 18: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

TP Logics

Page 19: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

This project comes under the umbrella of High level process in Digital image processing and computer vision.

Scientific Domain

Page 20: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Tools & Technology

• C++• Matlab• C #.net • Adobe Flash• Visual Studio 2008

Page 21: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Hardware

• T68 Paintball Gun Sniper

• Fire Camera

Page 22: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Industrial Edge

– Security and surveillance - to recognize people, – to provide better sense of security using visual information;– Medical therapy - to improve the quality of life for physical therapy

patients and disabled people– to enhance building and environment design– Traffic management - to analyze flow, to detect accidents; – Video abstraction - to obtain automatic annotation of videos– Video editing - to eliminate cumbersome human-operator

interaction, to design futuristic video effects– Interactive games -Â to provide natural ways of interaction with

intelligent systems such as weightless remote control.– Retail space instrumentation - to analyze shopping behavior of

customers

– Security and surveillance - to recognize people, – to provide better sense of security using visual information;– Medical therapy - to improve the quality of life for physical therapy

patients and disabled people– to enhance building and environment design– Traffic management - to analyze flow, to detect accidents; – Video abstraction - to obtain automatic annotation of videos– Video editing - to eliminate cumbersome human-operator

interaction, to design futuristic video effects– Interactive games -Â to provide natural ways of interaction with

intelligent systems such as weightless remote control.– Retail space instrumentation - to analyze shopping behavior of

customers

Page 23: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

INTERNATIONAL

EDGE

Page 24: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

IBM

Augmented reality makes shopping more personal”“

New mobile application from IBM Research helps both consumers and retailers

Customer

Expectations

Same level

Personaliza

tion

& customiza

tion

are already browsing their mobile devices for Product Information

BENEFITs

•Personalized Shopping experience.•Immediate product comparisons•Special Offers.

Retail Volume

while in store

shopping

92%

19%

Page 25: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Microsoft

Touch less Interaction in Medical Imaging”“

•Pan•Zoom•Rotate•Lock•Mark•Fade 3D Overlays

Page 26: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Apple Inc

Augmented

Reality

AugMeasure

Bionic Eye

Panoramascope

Theodolite Layar

DishPointer1. Le Bar Guide

WorkSnug

Pocket UniverseSnapShop Showroom

Page 27: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Samsung

Page 28: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

And Many More Like…

Page 29: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Research Journals

International Edge

A Robust Multiple Object Tracking for Sport

Applications

object-tracking-with-iphone.

Real time object detection & tracking for

industrial applications

Face detection and its applications in

intelligent and focused image retrieval.

FAST HUMAN DETECTION USING NODE-

COMBINED PART DETECTOR

Page 30: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Major Functions

Page 31: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Major Function

Track while scan

Object Detection

Object Identification

Object Tracking

Target Aiming

Page 32: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

Major Function

Page 33: WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad

“Thank you so much”