Smart surveillance monitoring system

Abstract

In today's world, where everyone wants to keep their valuables safe and secure, video surveillance for observing a particular area has become the need of the hour. To address this problem, we have come up with a solution of smart surveillance system for certain places like bank vaults, homes where the human presence is not available. At such places, it is not worth to continuously monitor the area with the cameras. This wastes the power consumption as well as the storage required for the footages. Our system will detect human presence using PIR sensor. Raspberry Pi operates and controls motion detecting sensors and video cameras for remote sensing and surveillance, streams live video and records it for future playback. On detection of any movement the cameras will trigger the surveillance. The proposed system captures information and transmits it via Internet to smartphones and laptops. Live streaming is done throughout the WAN i.e. also available within different LANs. Extensive human monitoring of the incoming video channels is impractical, expensive and ineffective. Using a universal sample-based background subtraction algorithm called ViBe (Visual Background Extractor), we detect motion in red alert zone i.e. a place in the room where the valuables are placed, for any suspicious activity and we send an alarm to the user. The video recorded and stored can be used to identify the intruder and help in catching him. To preserve privacy and securely transmit the video footage over the network, we are using blowfish encryption and decryption algorithm to provide extra security from hackers.