Design of Image Processing Techniques for Smart Real-Time Tracking System during Health Emergencies

Abstract

Currently, in the period of autonomous era, every sector is involving in the adoption of systems that are spontaneous and efficient. In the sector of autonomous vehicles, safety and health of the people who are seated inside the vehicle are majorly concerned. But, the dream of complete autonomous vehicle is far. The automobile industry focuses more on surviving the accidents by making use of available tools and technologies. One such idea is discussed in this paper, which can improve the road safety by establishing better connectivity between the emergency departments and the vehicle. Under the on-road emergency condition, the proposed methodology mainly deals with, 1) Emergency message communication. 2) Automatic road side parking. In order to accomplish the above-mentioned tasks, it requires the use of sensors (Ultrasonic, Infrared and passive infrared), communication module (GPRS/GSM) operated by main (Raspberry pi) and sub-control-units (Arduino), where the main control unit supervises sub control unit and the sub control unit performs the specified tasks, as defined by the main control unit. The proposed system is developed and analyzed for a prototype car, which will be discussed further.

The paper also depicts some of the popular image processing techniques such as SVM classifier, CLAHE, histograms that can be implemented in the emergency automatic parking system to analyze the emergency situation more constructively.