1. Indian Institute of Technology Hyderabad INDEPENDENT PROJECT ID 1035 INDEPENDENT PROJECT ID 1035 SECURITY ALARM SYSTEM SECURITY ALARM SYSTEM

2. A Project by D. Raj Kripal ES12B1007 Nishat Parveen EE12B1019 Siddarth Goel ME12B1036 Abhay GuptaCS12B1041,

3. OBJECTIVE  Security Alarm  System designed to detect intrusion  Significantly reduces manpower  Reduces amount of individual patrolling  It is best used at nights  These systems record intruder activities and other such functionalities  They are totally reliable for ~  Protection of precious items ~ jewellery, artifacts  Safety of buildings, homes  Protection of banks and mints

4. HOW IT WORKS  A webcam, image processing software ~ MATLAB and audio files are used  Cycles of image ~ taken by webcam  These images are sent to MATLAB through connecting wires  The image is processed and compared  If the two binary images match ~ no action is taken  Otherwise, MATLAB opens an audio file  The file is a alarm sound  In case a intruder enters ~  Binary images don’t match  Audio file opens  Alarm rings Video/streams of images by the webcam Image processed in MATLAB File containing the audio sound

5. MATLAB  High-level language – used for image and signal processing  Stores RGB images in a 5-D matrix  Each element of matrix – one pixel  Each element given color code varying between 0~255  Each pixel stores this color code  RGB images can be converted to binary images  Binary images – black & white  Binary images in 3-D matrix.

6. USE OF BINARY IMAGES  Black and white version of RGB images.  Color code in MATLAB – white ~ 255 & black ~ 0  Stored as 3-D matrix  Webcam obtains image  Image compared either with a predefined image or desired safety condition  Number of black and white pixels are accounted for  A certain threshold is set  The value is optimized to ignore noise and disturbance  If number of black or white pixels increases than given threshold amount ~  Alarm rings  Intruder detected

7. DEMONSTRATION – 1

8. DEMONSTRATION - 2

9. FUTURE IMPROVEMENTS  Possibility as long-term project.  Advanced alarm systems – integrated biometric systems  Incorporating micro-controllers  Advanced frequency distribution  Dynamic image pixilation  Advanced MATLAB techniques – blurring and anti-aliasing