Intelligent and Soft Computing Systems for Green Energy

17Artificial Intelligence-Based Ambulance

Dr. R. Sumathi*, R.M. Gokul, M. Gokulakrishnan, K. Ganesh Babu and S. Pavithra

Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India

Abstract

Street gridlock turns into a significant issue for exceptionally packed metropolitan urban areas. India is the second most populated country on the planet and is a quickly developing economy. It is confronting awful street blockage in the urban communities. As per Times of India, around 30% of deaths are caused because emergency vehicles experienced delays in reaching a clinic. In the proposed framework we are attempting to reduce the delay for the rescue vehicle. To smooth the development of emergency vehicles we think of “Keen Ambulance”. We are attempting to give green signs to the path where the emergency vehicle needs to go by physically turning a switch on a specific path. We will utilize the innovation loved RF Module. This framework was planned so that it would be initiated when it got a signal from a rescue vehicle dependent on radio recurrence (RF) transmission, and we utilized Arduino to change the succession back to the typical arrangement before the crisis mode was enacted. In the second stage, we are building up a site for doing enrollment about clinical history, everything being equal. This information will assist with saving time in the clinic as it prepares to treat the incoming patient. This information can ...