Self-Driving Ambulance for Emergency Application

An ambulance is a medically equipped vehicle which is used to shift a patient to a hospital and to provide the patient essential medical treatment during transit. Most of the man-driven ambulances are lacking with advance information like traffic cogestion, location of nearby hospital, taking on line advice of a doctor for emergency medical treatment during transit. All the above problems can be avoided if the service of a self-driving ambulance, equipped with GPRS and modern medical instruments, is available. At the time of emergency, self driving ambulance, can automatically take the route where there is less traffic and can also select the shortest route for destination by tracking of GPS location. Another advantage of self driving vehicle is that it is less prone to accident because of its high accuracy driving provided by the application of Artificial intelligence technology specially Machine Learning. This paper aims to present an idea for implementation of a prototype self-driving ambulance using IOT technology with high end computer vision. The technology which is proposed for this ambulance will reduce risk of accident substantially while running faster with patient comfort during emergency using high-definition cameras for detecting obstacles and potholes. At the time of emergency, self driving ambulance, can automatically take the route where there is less traffic and can also select the shortest route for destination by tracking of GPS location. Another advantage of self driving vehicle is that it is less prone to accident because of its high accuracy driving provided by the application of Artificial intelligence technology specially Machine Learning. This paper aims to present an idea for implementation of a prototype self-driving ambulance using IOT technology with high end computer vision. The technology which is proposed for this ambulance will reduce risk of accident substantially while running faster with patient comfort during emergency using high-definition cameras for detecting obstacles and potholes. This paper aims to present an idea for implementation of a prototype self-driving ambulance using IOT technology with high end computer vision. The technology which is proposed for this ambulance will reduce risk of accident substantially while running faster with patient comfort during emergency using high-definition cameras for detecting obstacles and potholes.