Low-power home embedded surveillance system using image processing techniques

Abstract

The need for surveillance systems are increasing due to safety and security requirements. And there exists an ample amount of challenging work yet to be explored in this domain. The current work proposes design, development and implementation of a low-power home embedded surveillance system. Such systems being operated throughout the day, consumes considerable amount of power. Power consumption being a crucial design parameter affects the utility of the system. In the proposed system to consume power, use of low-power sensor groups and controlling the activation of surveillance camera is incorporated through the M-bed microcontroller. Presence of a person is detected and face recognition is carried out using various image processing techniques.