13-04-2013, 02:57 PM
Drunken Drive Protection System
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Abstract
Nowadays almost most of the countries are forcing the motor riders to wear the helmet and not to use the vehicles when the person is in drunken condition. But still in many places, the rules are being violated by the users. In order to overcome this problem, an intelligent system has been embedded in the helmet itself. The signal detected by IR sensor from the earlobe region and an alcohol sensor will be transmitted to the vehicle control circuit. It will not turn on the vehicle, when the user is without helmet or in drunken condition. The system containing the GPS receiver will provide the geometric coordinates to the control unit. Based on this coordinates the user cannot drive the vehicle into no entry or no parking areas. If he enters into the restricted area, buzzer will get activated and vehicle speed also gets controlled. In addition to the above, when an accident occurs the system will start alarm and if the user tries to suppress the warning alarm then SMS will not be sent else it will be sent to the user’s relatives/friends. This contact information coded in the system can also be modified as per the users need. During the theft, the current location of the vehicle can be identified by sending the message from the user to the intelligent incorporated system. By this way the recovery of the vehicle is also possible by GPS-GSM communication.
INTRODUCTION
Now a day’s road accident is a major problem all over the world. The recent report says [1] that annual average of 700,000 road accidents, 10 percentages occur in India which has overtaken China. The latest annual statistics revealed by the World Health organisation (WHO) in its first Global status report on road safety, 80,000 people are killed on Indian roads due to speeding, drunken driving, less usage of helmets, seat belts and child restraints in vehicles. Another latest report of National Crime Records Bureau or NCRB [2] says that 40 people under the age of 25 die in road accidents all around the world. It states that the drunken driving is a major factor for the rising of death on roads. The drunk driving fatalities in the year 2009, till the 27th November were 11,769. The numbers for 2007 and 2008 were 12,998 and 11,773 respectively. It shows that the problem of drunk driving is far from over. In the 2009 DUI national statistics released by the NHTSA (Na-tional Highway Traffic Safety Administration) 11,773 people died in alcohol-related crashes.
EXISTING METHODOLOGY
Sweat sensors [4], Saab Alco Key [5], straw like tube on the driver seat [6] are used to check drunken condition of the drivers in cars. But these devices lead to misreading, inaccu-rate testing and circuit complexity is high. Hongjie Leng and Yingzi Lin [7] developed a novel carbon nanotube (CNT)-based alcohol sensor with a particular focus on the response delay problem presented in CNT based sensors. William R. Reagen [8] developed a system for locating missing vehicles. Shegeyuki Kojima et al [9] designed a new algorithm to dis-tinguish between the normal and intoxicated state of a person which is proposed as the basic theory of the sensing system. The entire solution requires only a mobile phone placed in vehicle and with accelerometer and orientation sensor. A pro-gram installed on the mobile phone computes accelerations based on sensor readings, and compares them with typical drunk driving patterns extracted from real driving tests.
MATERIALS AND METHODS
This paper mainly focuses on avoidance of drunken driving. Hence this system will not turn on the vehicle, when the user is in drunken condition. In addition to this, it will not allow the user to park/ drive the vehicle in the no parking or no en-try area respectively. The system will send short message ser-vice to the friends/relatives when an accident occurs. It also employs theft detection. Our system consists of two major parts. They are 1) Helmet unit and 2) Vehicle unit as shown in fig.1 & 2.
Confirmation of helmet wearing & alcohol detection
MQ-3 gas sensor (alcohol sensor) is suitable for detecting alco-hol content from the breath. So it can be placed just below the face shield and above the additional face protection. The sur-face of the sensor is sensitve to various alcoholic concentra-tions. It detects the alcohol from the rider’s breath; the resis-tance value drops leads to change in voltage (Temperature variation occurs).Generally the illegal consumption of alcohol during driving is 0.08mg/L as per the government act. But for demonstration purpose, we programmed the threshold limit as 0.04 mg/L. Threshold can be adjusted using variable resis-tor. Earlobe detector senses which is fitted with the helmet unit senses the blood flow in the earlobe region.
Accident intimation & Theft detection
GSM is used in the case of accident detection and theft detection
application. In case of any accident the alarm will get
activated, if the rider is in conscious stage he would suppress
the alarm; if not a short message service will be sent to the
friend’s mobile number. Various mobile numbers can be programmed
in the microcontroller.GSM and GPS do not communicate
directly with each other. Microcontroller acts as an
intermediate between them. To know the location of the vehicle
soon after the theft, rider has to send an SMS to the modem
present in the vehicle unit.
CONCLUSION & FUTURE WORK
Our system efficiently checks the wearing of helmet and drunken driving. By implementing this system a safe two wheeler journey is possible which would decrease the head injuries during accidents and also reduce the accident rate due to drunken driving. This system also indicates No parking area which would reduce the crowd of the vehicle in those areas. No entry area is mainly allocated during the construc-tion or repairing of the road, if the rider enters in such area this system would immediately intimate as ―No entry area‖ and vehicle will stop automatically. In case of any accident it would send the messages to the friends continuously about the location of the accident happened till the first aid reaches the rider. Our system helps to know the location of the vehicle for rescuing in the case of theft incidents.