Border Surveillance System using Computer Vision

The surveillance of border areas or any other secured places using security guards at each and every moments is difficult. It is made possible using digital cameras, a device which is used widely now a days for surveillance purposes. In such a case, the following paper defines the border surveillance system. This is done by computer vision. The requirements includes a camera, Raspberry-pi, Arduino-UNO and Buzzer. The digital camera is used to capture the live movements. The attained information/records are sent as an input to the raspberry pi which uses a computer vision (open CV) software to detect the objects and faces as positive and negative. The corresponding coding is done using python. If any mismatched objects or face (negative) is detected, automatically a signal is sent from the pi module. The desired signal is sent to the authority or monitoring room using transmitter. At one end, the Raspberry-pi module is connected with a monitor, transmitter and at the other end, a receiver with Arduino and buzzer. When any signal is received by a receiver, it is passed to the Arduino, which in turn triggers the buzzer connected to the Arduino and gives an alert signal or sound as it was programmed. In addition to this, the live streaming video can be seen in the monitor/display connected to the raspberry-pi. This surveillance system using computer vision can also be used at various places which are being under surveillances and are secured.