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Motion based security alarm
GROUP MEMBERS 
 AKSHATA MOHITE 
 MANGESH NIKAM 
 PRATIK NAIK 
 KIRTI MADHAVI 
UNDER THE GUIDANCE OF 
Ms. SHOBHANA GAIKWAD
 Existing System 
 Limitations of Existing System 
 Proposed System 
 Algorithm 
 Data Flow Diagram 
 Advantages of Proposed System 
 Real Time Applications 
 Soft. & Hardware Specification 
 References
CCTV 
Now a Days CCTV (Closed circuit Television) Is 
Most Popular System For Security Purpose.
It Gives Evidence After Incident. 
It’s Difficult To Maintain Heavy Amount Of 
Raw Video Data 
Human Interaction. 
Require Higher Bandwidth For Transmitting 
The Visual Data.
We Propose a Robust Security Alarming 
System Based On Detection Of Moving 
Objects In Video Streams And An Efficient 
Security System.
Capture Image 
Convert To Gray Image 
Edge Detection 
Comparison 
Alarming And Report
MODULE 1 : 
Taking Snapshot Of Images. 
MODULE 2 : 
This Images Will Converted To Gray Images. 
MODULE 3 : 
Detect Edges Of Images By Using Canny Detector. 
MODULE 4 : 
Edges Of Images Will Compared With Default 
Images. 
MODULE 5 : 
If Suspicious Image Is Detected Then Alert 
Administrator.
CANNY EDGE DETECTOR 
The Algorithm Runs In 5 Separate Steps 
1. Smoothing 
2. Finding Gradients 
3. Non-Maximum Suppression 
4. Double Thresholding 
5. Edge Tracking By Hysteresis
EDGES COMPARISON 
This Module Will Extract The Moving Object 
From The Edged Images And Give The 
Coordinate And Area Acquired By The Object 
This object Will Be Compared With The 
Previously Stored the Default Behavior Of The 
Object In Restricted Area 
If Any Conflicting Behaviour Apart From 
Default Stored Context Is Detected; It Will 
Send To The Alarming Module
ALARMING AND REPORT 
If Module 4 Sends Report Of Any Suspicious 
Activity Then This Module Will Be Activated. It 
Will Alert The Administrator 
As The Alarm Rings The System Will Enter 
New Record In Database Which Will Have 
Information For Analysis Of Event
Motion based security alarm
Helpful In Identifying People In The Crime Scenes etc. 
Don’t need to monitor videos manually by the person 
Keep Track Of Information Video Data For Future Use 
Reduce The Large Data Storage 
Does Not Require Large Bandwidth 
Provide a Robust Alarming System To Alert The 
System Administrator
Indoor/Outdoor Security. 
Real Time Crime Detection. 
Traffic Monitoring. 
High Security Area, 
 BANKS. 
 AIRPORTS. 
 ATM CENTERS. 
 MALLS.
SOFTWARE 
SPECIFICATION 
• Operating System 
Windows XP,7 
• Programming 
language : 
• Java(JDK 1.6) 
SOFTWARE 
TOOLS 
• IBM RAD 
,Rational Rose 
• Backend 
Microsoft 
Access 
HARDWARE 
SPECIFICATION 
•PROCESSOR: Speed 
minimum: PIII 800 MHz 
•RAM: Minimum: 128 MB, 
256 MB 
•Web camera
PAPER REFERENCE 
• ICCTAI'2011 paper on “Motion Based Security Alarming System for 
Video surveillance” by G. Raja Raman, M. Sarath Chandran, and S. R. 
Vinotha” 
WEB REFERENCES 
• http://www.filestub.com 
• http://www.ebookee.org 
• http://www.google.com
Motion based security alarm

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Motion based security alarm

  • 2. GROUP MEMBERS  AKSHATA MOHITE  MANGESH NIKAM  PRATIK NAIK  KIRTI MADHAVI UNDER THE GUIDANCE OF Ms. SHOBHANA GAIKWAD
  • 3.  Existing System  Limitations of Existing System  Proposed System  Algorithm  Data Flow Diagram  Advantages of Proposed System  Real Time Applications  Soft. & Hardware Specification  References
  • 4. CCTV Now a Days CCTV (Closed circuit Television) Is Most Popular System For Security Purpose.
  • 5. It Gives Evidence After Incident. It’s Difficult To Maintain Heavy Amount Of Raw Video Data Human Interaction. Require Higher Bandwidth For Transmitting The Visual Data.
  • 6. We Propose a Robust Security Alarming System Based On Detection Of Moving Objects In Video Streams And An Efficient Security System.
  • 7. Capture Image Convert To Gray Image Edge Detection Comparison Alarming And Report
  • 8. MODULE 1 : Taking Snapshot Of Images. MODULE 2 : This Images Will Converted To Gray Images. MODULE 3 : Detect Edges Of Images By Using Canny Detector. MODULE 4 : Edges Of Images Will Compared With Default Images. MODULE 5 : If Suspicious Image Is Detected Then Alert Administrator.
  • 9. CANNY EDGE DETECTOR The Algorithm Runs In 5 Separate Steps 1. Smoothing 2. Finding Gradients 3. Non-Maximum Suppression 4. Double Thresholding 5. Edge Tracking By Hysteresis
  • 10. EDGES COMPARISON This Module Will Extract The Moving Object From The Edged Images And Give The Coordinate And Area Acquired By The Object This object Will Be Compared With The Previously Stored the Default Behavior Of The Object In Restricted Area If Any Conflicting Behaviour Apart From Default Stored Context Is Detected; It Will Send To The Alarming Module
  • 11. ALARMING AND REPORT If Module 4 Sends Report Of Any Suspicious Activity Then This Module Will Be Activated. It Will Alert The Administrator As The Alarm Rings The System Will Enter New Record In Database Which Will Have Information For Analysis Of Event
  • 13. Helpful In Identifying People In The Crime Scenes etc. Don’t need to monitor videos manually by the person Keep Track Of Information Video Data For Future Use Reduce The Large Data Storage Does Not Require Large Bandwidth Provide a Robust Alarming System To Alert The System Administrator
  • 14. Indoor/Outdoor Security. Real Time Crime Detection. Traffic Monitoring. High Security Area,  BANKS.  AIRPORTS.  ATM CENTERS.  MALLS.
  • 15. SOFTWARE SPECIFICATION • Operating System Windows XP,7 • Programming language : • Java(JDK 1.6) SOFTWARE TOOLS • IBM RAD ,Rational Rose • Backend Microsoft Access HARDWARE SPECIFICATION •PROCESSOR: Speed minimum: PIII 800 MHz •RAM: Minimum: 128 MB, 256 MB •Web camera
  • 16. PAPER REFERENCE • ICCTAI'2011 paper on “Motion Based Security Alarming System for Video surveillance” by G. Raja Raman, M. Sarath Chandran, and S. R. Vinotha” WEB REFERENCES • http://www.filestub.com • http://www.ebookee.org • http://www.google.com