Raspberry Pi Motion Detection Surveillance System

Computer Science

As an essential constituent of many associations’ security and safety priority, video surveillance has established its importance and benefits numerous times by providing immediate supervising of possessions, people, environment and property. This project deals with the design approach of an Embedded Real-Time Surveillance System Based Raspberry Pi Section Border Controller (SBC) for intruder detection that reinforces surveillance technology to provide essential security to our life and associated control and alert operations. The proposed security solution centers on our novel integration of cameras and motion detectors into web application. Raspberry Pi operates and controls motion detectors and video cameras for remote sensing and surveillance, streams live video and records it for future playback. This research is focused on developing a surveillance system that detects strangers and to respond speedily by capturing and relaying images to owner based wireless module. This Raspberry Pi based Smart Surveillance System presents the idea of monitoring a particular place in a remote area. The proposed solution offers a cost-effective ubiquitous surveillance solution, efficient and easy to implement. This project will also present the idea of motion detection and tracking using image processing. This type of technology is of great importance when it comes to surveillance and security. Live video streams will therefore be used to show how objects can be detected then tracked.

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