An efficient surveillance monitoring for emergency vehicle clearance using optimized emergency vehicle tracking algorithm in wsn

Abstract

In this article, a real time emergency vehicle tracking through architecture of automatic emergency recognition system with high-intensity digital camera is located in a national highway traffic signal. In a recentsurvey, there are thousands of people losing their lives due to the delay in the emergency services. More than 4000 heart attack victims can be saved every year, if the delay could be minimized. At present scenario, the number of deaths is in lakhs and this number can be effectively reduced by providing timely and accurate emergency service all the way through avoiding the unnecessary time delay near traffic jams during an emergency situation. This method clarifies the modelling and working of different units of the emergency vehicle detection and identification system such that optimized emergency vehicle tracking algorithm (OEVTA), are used to detect the ambulance when it comes close to traffic signal and finally estimate the distance to the incoming emergency vehicle with the help of road side traffic surveillance unit.This article confer the basic components and their function such that Internet of Things(IOT) and their dissimilar layers of protocol, Kaur.H, Sahni.V, et al. (2013).Microcontroller used as Raspberry pi B+ moduleARM11 32-bit processor and its architecture, with interfacing sensors such as Siren sound detect (REES-52), the Wireless sensor (NRF905se). The most efficient route is asphalt construct to the central server checks for the location of the emergency vehicle and changes the traffic signal.When the emergency vehicle is approaching the traffic signal,this system generates sequence of information regarding the traffic emergency situations such as ambulance beacon light and siren sound