Smart platforms surveillance system to enhance communication in disaster environments

Abstract

The modern communications technology is a positive case for disaster risk reduction, since they to it provides critical information to realize risk assessment. In this study, we present an innovative technique is characterized by an aerial platform as a robust method to monitor disaster area. Traffic Surveillance System (TSS), based on Detection and Early Warning (DEW) units, is used to monitor the roads in preventing accidents at the same time finding what causes the accidents. This is done by implementing some image vision protocols as that of Gaussian. This paper will discuss about the cameravideo-surveillance capabilities of tracking across different and varied road environments including detection of moving vehicles. The programming method used will be the functional programming of OpenCV which could be operated under Linux OS. The bit error rate (BER) also was evaluated among multiple platform links in mobile environments. We adopted multi-level deployment besides low aggregate throughput delivered to all remote-sensing terminals in order to accommodate the reliability of data transmission from the last mile