Aim:

               This paper explores the advancement of the Internet of Things (IoT) and Machine Learning in the field of Road Safety and accident prevention with a state of the art review of various techniques adopted for implementing an intelligent road Safety System.

Abstract:

           The safety system can be updated on a real-time basis which can help to create a smart, intelligent, and highly efficient Road Safety system. Artificial Intelligence (AI) is applied to enhance the technology further for detecting the driver's behavior like drowsiness with the help of real-time camera feed or high- resolution images. Though the paper provides a good insight into the application of IoT and Machine vision in the smart Road safety system, certain limitations are highlighted. Additionally, the role  detecting the condition of roads and bridges using ultrasonic, safety belt consisting of an inbuilt heartbeat sensor, which collects vehicle data like - GPS location, If the driver is drunk, then vehicle ignition will not start until the driver is not changed. In case the car is already in driving condition, then the system alerts the driver using a buzzer, gas and alcohol sensor also detecting the readings and alert driver, if rick is presence in the vehicles. It collects information using a variety of sensors and an onboard camera. The collected data can then be uploaded to a central server

Proposed System:

             In this proposed system using Ai camera  and controller using for detecting driver drowsiness and then using advanced functions for road safety in procedures in machine vision process, GPS, gas and alcohol sensors are used to preventing the vehicles and ultrasonic is used to finding the roads  and bridges damages for road  maintenance service quicker. Then in built seat belt heart sensor helps to find driver health and esp8266 is connected with IoT.