International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 4 Issue: 7 | July 2017
www.irjet.net
p-ISSN: 2395-0072
IMPLEMENTATION OF SMART HELMET Deekshitha K J1, Pushpalatha S2 1Student,
DECS dept, VTU PG CENTER MYSURU, Karnataka, India professor, DECS dept, VTU PG CENTER MYSURU, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------Objectives Abstract - There was a survey till 31 Mar 2015, Which clear 2Assistant
tells that there are total of 154.3 million two wheelers are there in India, considering only the registered and renewed vehicle in to consideration, as the density of the two wheelers increases, there the main risk factor is to provide the safety to the riders.70% of the accidents reported are subjected to two wheelers and out 3 accidents in India 2accidents involve two wheelers as a victims, accidents of two wheelers are because of high density roads, heavy traffic, rash or negligence driving, drunk & Drive and a Sleepy riding, many times even after the accidents, accidents will not be reported properly or even the medical aid or assistance will not be available to the riders because of poor or no communication of the accidents, which leads to many number of the death in the recent years.
In this paper we are developing an IoT product called Smart helmet, which comprises of to units, motor unit and helmet unit, Helmet unit consists of the alcohol and Eye blink sensor, Alcohol Sensor will not allow rider to take on bike after drinking alcohol and eye blink sensor raises the alarm in sleeping conditions. Motor unit is able to communicate with the care takers with messages and GPS helps the system to track the location of the bike in case of the accidents, also this system act as accident prevention and detection system. Keywords: Smart Helmet, IoT, GSM, GPS, Sensors, Accidents, Smart Helmet, Prevention
I. INTRODUCTION The monitoring of physiological signals using wearable devices is increasingly becoming a prerequisite for the assessment of the state of body and mind in natural environments. This has been facilitated by small-scale analogue and digital integrated circuit technology, together with on-chip processing power for dealing with movement induced artifacts in bio potentials, which are present when performing daily activities. Physiological signals recorded in real life tend to be notoriously weak and with a low signal tonoise ratio (SNR). To this end, an amplifier with a high common mode rejection ratio is required; such high quality bio-appliers are typically integrated into the analogue front end of large stationary devices. Because of the many leads and electrodes required, such devices are well suited for clinical environments, where patients are normally stationary (except e.g. for cardiac stress tests), so that the noise level is relatively low. © 2017, IRJET
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Impact Factor value: 5.181
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Objective of this Project is to design an intelligent or smart helmet, which act as a Security system and also a monitoring system for the two wheeler and its rider, This embedded system is consists of the Sensors network with Communication modules, which helps to stop the drive or not to allow the driving at the critical or abnormal situations, also we are intended to set the accident detection system.
II. LITERATURE SURVEY Smart Helmet with Sensors for Accident [1] The impact when a motorcyclist involves in a high speed accident without wearing a helmet is very dangerous and can cause fatality. Wearing a helmet can reduce shock from the impact and may save a life. There are many countries enforcing a regulation that requires the motorcycle’s rider to wear a helmet when riding on their motorcycle, Malaysia is an example. With this reason, this project is specially developed as to improve the safety of the motorcycle’s rider. Motorcyclist will be alarmed when the speed limit is exceeded. A Force Sensing Resistor (FSR) and BLDC Fan are used for detection of the rider’s head and detection of motorcycle’s speed respectively. A 315 MHz Radio Frequency Module as wireless link which able to communicate between transmitter circuit and receiver circuit. PIC16F84a is a microcontroller to control the entire component in the system. Only when the rider buckled the helmet then only the motorcycle’s engine will start. A LED will flash if the motor speed exceeds 100 km/hour. Keywords-Microcontroller PIC16F844a, 315 MHz Radio Frequency Module, Force Sensing Resistance, BLDC Fan, 5VRelay, LM311 and IC 555. Smart Helmets for Automatic Control of Headlamps [2] Intelligent Safety Helmet for Motorcyclist is a project undertaken to increase the rate of road safety among motorcyclists. There are many countries enforcing regulations to wear a helmet while riding. India is an example. The idea is obtained after knowing that the increasing number of fatal road accidents over the years is cause for concern among motorcyclists. This project is designed to introduce automatic autonomous headlight technology for the safety of motorcyclist. Here, we focus on intelligent headlamps that react according to the rider’s facial movement. It makes use of accelerometer and other ISO 9001:2008 Certified Journal
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