R, UNNI (2018) PC Based Ultrasonic Intrusion Detection System. MTech thesis.
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An effective low-cost intrusion detection system is necessary for smart homes, offices, server room since number of theft operations are reported. For monitoring the intrusion activity an intrusion detection system is required which is placed in a monitoring location and track the intruders distance, velocity, and date of occurrence. The ultrasonic sensor is used for motion detection since it has good accuracy and is able to track the intruders distance in the range of meters. The HC-SR04 ultrasonic sensor have high frequency, high sensitivity, and high penetrating power so it can easily sense the intruder. Output of the sensor is received through a microcontroller for programming and further display in a LCD. When the intruder detected, a primary alert process is initiated followed by a text message alert. The text message alert is given to the registered number via a global system for mobile communication (GSM) module. The serial data obtained from the microcontroller is interfaced with LabVIEW for data logging. When intruder is detected a good resolution USB-camera is turned on which is controlled by LabVIEW and IMAQ vision assistant. IMAQ will receive data from the USB-camera and the intruder image is snapped and stored to the host PC (Personal computer). The obtained pictures are further carried out for human detection. MATLAB based human detection algorithm detects the intruder morphology and number of intruders. This system can be achieved with little computational power that makes the system ideal for many situations. This design could find application in security systems for smart home, bank locker, and jewelry.
|Item Type:||Thesis (MTech)|
|Uncontrolled Keywords:||HCSR04; GSM; LabVIEW; IMAQ; USB-camera; MATLAB|
|Subjects:||Engineering and Technology > Electronics and Communication Engineering > Intelligent Instrumentaion|
|Divisions:||Engineering and Technology > Department of Electronics and Communication Engineering|
|Deposited By:||IR Staff BPCL|
|Deposited On:||29 May 2019 13:04|
|Last Modified:||29 May 2019 13:04|
|Supervisor(s):||Pati, Umesh Chandra|
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