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ISSN: 2321-9653
Estd : 2013
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Ijraset Journal For Research in Applied Science and Engineering Technology

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Smart Helmet

Authors: Madhura Magdum, Seema Somawanshi, Anjali Khivansara, Shubham Sawant, Dr. Rupali Chopade

DOI Link: https://doi.org/10.22214/ijraset.2022.46790

Certificate: View Certificate

Abstract

Helmet safety is a type of protective headgear used by workers and riders, which makes the work safer than before. The main goal of our project is risk detection, awareness, and prevention. This protective helmet makes the user feel comfortable and provides maximum protection and security. Many lives could have been saved if paramedics could have obtained the accident information and arrived on time at the scene. To solve these current problems we create a protective helmet that provides the best solution. The aim of our project is to design a smart and low-cost helmet that can prevent road accidents. This can be done using advanced features such as alcohol detection, smoke detection, vibration detection, temperature detection. For that purpose, we will use a smoke sensor, alcohol sensor, vibration sensor, temperature sensor, etc. This makes it a smart hat. It is compulsory to wear a protective helmet; otherwise, a no-brainer will start. The Bluetooth Module is used as a wireless communication link between the sender and the receiver and after receiving the data on the hardware we compare it with the software data. The software application is designed in such a way that it locates the exact location according to Google Maps. Many people lost their lives due to late reporting of the accident as they could not track the exact GPS location of the accident. Sometimes we cannot report an accident in a timely manner. The main reason many people get head injuries is because they do not wear helmets.

Introduction

I. INTRODUCTION

In the current situation, we are experiencing many deaths due to lack of user safety. There are three key factors that motivate us to improve this work. The problem is the onset of alcoholism. The alcohol sensor is used as a respirator that detects the presence of alcohol in the rider or construction/mining worker as it exceeds the maximum limit it will send the message to the authorities or registered mobile number.

The second major problem is smoke detection. A smoke sensor is used to detect smoke when smoke is detected and a message is sent. A temperature sensor is used when the temperature is exceeding the normal temperature then it sends a notification on the application. The third major problem is late medical care.                    

If a user encounters an accident that does not involve immediate medical attention, this is a major cause of death. Every second people die as a result of late medical treatment or the scene of an accident is empty. 

In vibration detection, we place a vibration sensor in the unit.

Due to these mechanisms, we detect whether an accident occurs or not. The aim of this project is to make a protection system in a helmet for the good safety of users. The smart helmet that we made is fixed with sensors and after getting data from the hardware it is compared with the software data if data is matched just like, if alcohol is detected then message sent as alcohol detected, and location of helmet that is worn by the user.

The same works with the vibration sensor if the vibration is detected then the message will be sent as vibration detected and the location is sent to the higher authority and as well as the user family.

A software application is designed in such a way that it locates the exact position in terms of Google Maps. If the user is drunk the ignition automatically gives the message.

Many people lose their lives because of the late reporting of the accident as they are unable to track the accurate GPS location of the accident area. Sometimes we are unable to inform them about the accident at the right time. The main reason many people get head injuries is because they do not wear helmets.

Alcohol sensor, Smoke sensor, Temperature sensor, the Vibration sensor are used for various purposes and all the sensors are connected to the Arduino UNO.

II. PROBLEM STATEMENT

To build a system called "Smart Helmet", which improves the safety and security of riders and construction/mining workers, and helps to reduce the number of accidents that occur on a daily basis.

A Smart Helemt is designed using different sensor’s ,such alcohol sensor ,flame sensor ,temperature sensor and vibration sensor . The sensors are connected to the arduino uno ,arduino is connected to software application through bluetooth ,with the help of bluetooth the message with current location will be send to the saved contact number.

The location is accessed through the GPS of the mobile. When sensor’s are detected the Led light glows ,and also detection information show’s on the LCD screen ,and the message is also send .

V. FUTURE SCOPE

We can add a buzzer in the helmet like the LED will be flashing when the speed exceeds. The LED is placed at the speed meter of a motorcycle, not too alarming. By inserting a buzzer in the helmet, the motorcyclist will be more alert and will slow down the motorcycle once they receive the signal. The motorcycle’s engine will only start if the helmet is worn and the belt has been buckled

Conclusion

The designed safety helmet ensures the safety of the rider and the construction/mining worker as well as the ability to wear a helmet, and it ensures that the user does not consume excessive amounts of alcohol. The project detects smoke, vibration, and temperature. This program also helps to effectively manage the consequences of accidents. This ensures that victims receive appropriate and prompt health care, in the event of an accident

References

[1] Divyasudha, N., Arulmozhivarman P., Rajkumar E.R. “Analysis of Smart helmets and Designing an IoT based smart helmet: A cost effective solution for Riders\'\'. 2019. IEEE. [2] Dhulavvagol, P. M., Shet, R., Nashipudi, P., Meti, A. S., & Ganiger, R. (2018). “Smart Helmet with Cloud GPS GSM Technology for Accident and Alcohol Detection\'\'. vol 195.2020. Springer. [3] Md. Atiqur Rahman, Ishman Rahman, Toufiq Ahmed, S.M Ahsanuzzaman, Abid Ahsan “IoT [4] Based Smart Helmet and Accident Identification System”. 2020. IEEE. [5] Sehrawat, D., & Gill, N. S. Smart Sensors: “Analysis of Different Types of IoT Sensors.” 2019. IEEE. [6] Nakashima, A., Sagawa, Y. and Kimura, M. (2011). “Temperature Sensor Using Thin-Film Transistor. IEEE Sensors Journal. [7] Bahareh Yaghootkar, Soheil Azimi, and Behraad Bahreyni. “A High Performance Piezoelectric Vibration Sensor”. IEEE Sensors Journal ( Volume: 17, Issue: 13, July 1, 1 2017). [8] Cheon J., Lee J., Lee I., Chae Y., Yoo Y., Han G..” A Single-Chip CMOS Smoke and Temperature Sensor for an Intelligent Fire Detector”. JUNE 2009.IEEE. [9] Chandran, Chandrasekar and Elizabeth .\"Connect: An Internet of Things (IoT) based Smart Helmet for Accident Detection and Notification\" DECEMBER 2016.IEEE. [10] Wilhelm von Rosenberg, Chanwimalueang, Valentin Goverdovsky , David Looney, David Sharp, Danilo P.Mandic. Smart Helmet: Wearable Multichannel ECG EEG\" NOVEMBER 2016.IEEE. [11] Abhinav Anand, Kumar Harsh, Kushal Kumar, Sourav Gouthi .\" Microcontroller based smart wear for driver safety\". MAY 2015.IEEE.

Copyright

Copyright © 2022 Madhura Magdum, Seema Somawanshi, Anjali Khivansara, Shubham Sawant, Dr. Rupali Chopade. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Authors : Madhura Magdum

Paper Id : IJRASET46790

Publish Date : 2022-09-16

ISSN : 2321-9653

Publisher Name : IJRASET

DOI Link : Click Here

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International Journal for Research in Applied Science and Engineering Technology (IJRASET) is an international peer reviewed, online journal published for the enhancement of research in various disciplines of Applied Science & Engineering Technologies.

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