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008 090714t2009 my a f m 000 0 eng|d
020 _aTHE0006674(Local)
039 9 _a201905171134
_bamirul
_c201107132244
_dVLOAD
_c200911091643
_dkam
_c200908141647
_dVLOAD
_y200907141504
_zida84
040 _aUMP
090 _aTK788.B56 N67 2009 rs Bc.
100 0 _aNusaibah Mohd Nor
245 1 0 _aSpycam surveillance system with motion detector /
_cNusaibah Mohd Nor
246 3 _aSpycam surveillance system with motion detector
_h[electronic resource]
260 _aKuantan, Pahang :
_bUMP,
_c2009
300 _a59 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2009
520 3 _aNowadays, Surveillance security system becomes the best solution to overcome more crime cases in our country and also for house intrusion problem, with the real-time monitoring it will be an effective security system. As we know, there are many types surveillance security system has today which are too expensive and difficult to use such as for Closed-circuit television (CCTV) surveillance system, with their centralized processing in compression and recording architecture together with a simple multi-monitor visualization of the raw video streams bear several drawbacks and limitations. For that reason, the Spycam Surveillance System with Motion Detector is built to perform automated capturing scene and provides immediate response to suspicious events by optimizing webcam capturing parameters. This project is focusing on developing a surveillance system with Passive Infared Detector as a motion sensor and webcam for capturing image, both of the devices become main component in cotroling the whole system. This project has utilized Visual C++ language and its component in creating the Graphical User Interface to interfacing the hardware and the computer. There also use parallel port for computer to interact to other external device. In this project it used to interface with PIR Detector. The project which has been successfully designed with the output is images from webcam and sensor to detect any movement while the camera continues to monitor the entire scene. Hopefully this project can function to adequate surveillance system for any crucial cases.
650 0 _aHuman face recognition (Computer science)
650 0 _aImage processing
650 0 _aBiometric identification
650 0 _aSecurity systems
999 _aVIRTUA40
_c1610
_d1616
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*6502*6503*9992