ARM Based Drunk Driver Identification with Tracking System
Abstract:
The most of the accidents in every country are caused by the drunken driving. But still in many places the rules are being violated, hence to avoid these situations we need a more efficient system which will be firstly able to verify that whether the drive is in intoxicated situation or not. In this paper we are introducing a method that when the drunk driver is found then the vehicle ignition function should get disabled and a massage in the form of vehicle location will be sent to the driver’s relative whose number is pre-defined in the system.
Existing System:
Road accidents and collisions occur frequently. According to a survey done by W.H.O Almost every 90 seconds, a person is injured in a drunken driving crash. Drink and drive not only bring road traffic hidden danger to others, but also affects the safety of driver’s own life. In order to overcome the accidents caused due alcohol consumption by the driver while driving, an effective system is implemented based on ARM Controller and MQ3 alcohol sensor. With alcohol sensor MQ3, the alcohol concentration is detected through ADC which is inbuilt in ARM controller, the detection signal is converted to digital signal. According to the digital signal, the car is controlled automatically, can’t be driving after driver drinking, thus avoid the occurrence of drunk driving. Hongjie Leng and Yingzi Lin developed a novel carbon nanotube (CNT)-based alcohol sensor with a particular focus on the response delay problem presented in CNT based sensors. Shegeyuki Kojima et al designed a new algorithm to distinguish 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. Aditya et al suggested that biometrics can be used in the security mechanism for the motor vehicles, as an anti theft device. William R. Reagen [8] developed a system for locating missing vehicles.
Proposed System:
The entire system works according to commands issued by microcontroller unit which is the brain of the system. The entire system is powered by a battery source which will work continuously even when the vehicle is in off condition which will cause to keep GPS module continuously enable and the current location of the vehicle will be tracked. The Global Positioning System (GPS) is a satellitebased navigation system made up of a network of 24 satellites placed into or-bit by the U.S. Department of Defense.GPS transmissions occur on a frequency of 1575.42 and 1227.60 MHz. The Global Positioning System satellites transmit signals to equipment on the ground. GPS receivers passively receive satellite signals. The GPS module works on the with National Marine Electronic Association (NMEA) sentences provided by any GPS device. These sentences contain the standard information required to get position, speed, and other parameters. In order to find out the location there is a need of the longitude and latitude and these are available in the sentence as “$GPRMC – Recommended Minimum Specific GPS/TRANSIT Data”. The GPS Module is interfaced with the LPC2148 to the UART0 of port P0 as shown in the above figure3. The GPS module continuously receives the signal from the satellite and tracked the location which will be further transferred to the desired recipient through GSM module. Conclusion: This system effectively confirms that the driver is not in a drunken condition before driving and while driving the car. By implementing this system it is possible to safe journey by two wheelers as well as the four wheelers.
REFERENCES
[1] Pratiksha Bhuta, Karan Desai, Archita Keni, “Alcohol Detection and Vehicle Controlling”, IJETA – Volume 2 Issue 2, Mar-Apr 2015.
[2] Ms. Dhivya. M, Hybrid Driver Safety, “Vigilance and Security System for Vehicle”, IEEE Sponsored 2nd International Conference on Innovations in Information Embedded and Communication Systems.
[3] Prashanth K P, Kishen Padiyar, Naveen Kumar P H, K Santhosh Kumar,“Road Accident Avoiding System using Drunken Sensing Technique”, IJERTISSN: 2278-0181 IJERTV3IS100754
[4] Ms. DHIVYA.M and Kalaignar Karunanidhi Institute of Technology Coimbatore, India,” HYBRID DRIVER SAFETY, VIGILANCE AND SECURITY SYSTEM FOR VEHICLE”, IEEE Sponsored 2nd International Conference on Innovations in Information Embedded and Communication Systems.
[5] Sharukh Khan & Shahabaz Khan, “High sensitive alcohol sensor with auto car ignition disable function”, International Journal of Scientific & Engineering Research, Volume 4, Issue 10, October-2013 ISSN 2229- 5518.