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INDEPENDENT PROJECT ID 1035

INDEPENDENT PROJECT ID 1035. INDEPENDENT PROJECT ID 1035 SECURITY ALARM SYSTEM . SECURITY ALARM SYSTEM. A Project by D. Raj Kripal ES12B1007 Nishat Parveen EE12B1019 Siddarth Goel ME12B1036 Abhay Gupta CS12B1041 ,. OBJECTIVE. Security Alarm

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INDEPENDENT PROJECT ID 1035

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  1. INDEPENDENT PROJECTID 1035 INDEPENDENT PROJECT ID 1035 SECURITY ALARM SYSTEM SECURITY ALARM SYSTEM

  2. A Project by D. Raj Kripal ES12B1007 NishatParveen EE12B1019 SiddarthGoel ME12B1036 Abhay Gupta CS12B1041 ,

  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

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