International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 08 Issue: 06 | June 2021 www.irjet.net p-ISSN: 2395-0072 © 2021, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1186 ANALYSIS AND DESIGNING OF IOT BASED SMART HELMET Mrs. G. Rajitha 1 , K. Akhila 2 , M. Sreekanth 3 , T. Naveen Kumar 4 1-4 Affiliated to Jawaharlal Nehru Technological University, Hyderabad, Telangana Department of Electrical and Electronics Engineering, ACE Engineering College, Ghatkesar, Telangana ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - This paper implements and develops the Smart helmet for bike riders. In this paper, we have reviewed the recent trends in developing smart helmet system. Most of the people lost their lives in road accidents, due to severe head injuries, it is also important to those who survived faced injuries. An attempt to reduce the probability of bike rider accidents, drunk and drive cases. The smart helmet system is used to prevent the motor bikes and to identify the bike accidents on time for wellness of human being. Also, the smart helmet system analyzed in this project is used in mining industry to alert the miners from hazardous events in the mine. The research also helps to understand the smart helmet system evolved over the period and currently by using emerging technology like Internet of Things (IOT). The user can get the flexible riding, using this system. The proposed system is user-friendly and ensures safety and surveillance at a low maintenance cost. Key Words: Internet of Things, WI-FI module, Alcohol Sensor, Micro-Electro Mechanical System (MEMS) Sensor, etc. 1. INTRODUCTION This paper discuss about the Smart helmet system to prevent and detect the accidents of bike rider using MEMS sensor. Safety is one of the most important aspect in everyone’s l ife. Every person hopes to reach home safely. Despite of having all the safety rules while riding, many of the riders fail to follow them and this leads to road accidents and there are very less chances of survival. The accidents are fatal due to the common negligence of not wearing the helmet and lack of medical attention needed by the injured person in time. Another major cause for the accidents is the drunk and drive. Despite of Safety is one of the most important aspect in everyone’s life. Every person hopes to reach home safely, having all the safety rules while riding, many of the riders fail to follow them and this leads to road accidents and there are very less chances of survival. Hence our objective is to develop a bike rider safety system which aims for accident prevention, detection and to reduce the probability of bike accidents. In this paper, we propose a very low-cost personal use system using the IOT platform. This system has following features: Vehicle accident is detected using Arduino connected to MEMS sensor, wi-fi module, the alert message is sent to our mobile phone by short message service on wi-fi through Blynk application. 2. LITERATURE SURVEY Main motto of the proposed project is to decrease the chances of casualties in such accident. Most fatal accidents in 2017 were those of bike riders on Indian roads. 91 percent cases of bike accidents due to non-helmet rider and more than 48,746 bike users died in road mishaps. Incidentally, 73.8 percent of them did not wear a helmet. Accidents involving two-wheelers are more dangerous due to the absence of protective guards like air bags and the direct interaction of the user with the environment. Fatal injuries to the brain are an important reason behind deaths due to the road accidents. 3. HARDWARE REQUIREMENTS  Arduino Nano  Alcohol Sensor  MEMS Sensor  LDR Sensor  Wi-Fi module  RF transmitter & Receiver module  Tactile Buttons  DC motor, Relay  Regulated power supply  Buzzer, LED lights 4. SOFTWARE REQUIREMENT  Arduino IDE  Blynk Application 5. BLOCK DIAGRAM Fig-1: Block Diagram of Helmet Unit