Enhancement of sensing probability and sensing range of an embedded surveillance system by use of multiple sensor groups incorporating a majority voting mechanism

In this paper we design and implement an embedded surveillance system which is triggered by pyroelectric infrared sensors (PIRs). Our design uploads images or videos to Web pages in real time and allows the user to monitor the area through the Internet. To enhance the sensing probability, we use multiple sensors to construct a sensor group operating by means of a majority voting mechanism. To cover a large sensing area, we use multiple sensor groups which have a majority voting mechanism and are able to help each other. The signals from the sensors are input to the embedded surveillance system which counts the sensing states using the software of the majority voting mechanism. The result of the statistics decides whether the embedded surveillance system is to be triggered which then records the images of an intruder in an efficient way.