04-10-2016, 10:09 AM
1457593307-FINALABS.docx (Size: 499.89 KB / Downloads: 5)
ABSTRACT
In our project we are dealing with the real time detection of the car driver drowsiness and alcoholic intoxication. Now a day about majority of the accidents is caused due to the micro sleep or fatigue of the driver during their long time of travelling. Our project integrates both the embedded and wireless technologies to protect the people and also for the road safety .More than 60% of car crashes observed are due to the driver low vigilance level which is caused due to drowsiness and alcohol consumption. In order to prevent the major road accidents we are engaged in reducing it by using sensors, GPS, GSM and a microcontroller. In our project we also deal with tracking of the theft car and notification after the accident had happened to aid fast recovery and treatment. By using this we can reduce the majority of the accidents which give alertness to the driver and also stop the car automatically when there is the occurrence of the accidents. We conclude that by designing a hybrid drowsiness detection system that combines non-intrusive physiological measures with other measures one would probably reduce the accidents.
INTRODUCTION
Driver low vigilance level is a significant factor in a large number of vehicle accidents. The advancement of technologies for detecting or preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Because of the hazard that Drowsiness presents on the road, methods need to be developed for counteracting its affects.
The aim of this project is to develop a archetype vigilance monitoring system. The focus will be placed on designing a system that will accurately monitor the heart beat of the driver and the alcohol content in his breath in real-time.
In today’s world where science has made amazing advances so have the modern cars. These cars are more advanced than ever. But now days, as the alcohol consumption is increasing within the peoples so the accidents are increasing day by day. Driver consumes alcohol and then they do rash driving as of that they do not have control on themselves. Here we are designing a system which will detect the consumption of alcohol by the driver. Once detected, the vehicle will turn off the ignition, the buzzer will start buzzing and the state of the driver and current location of the vehicle will be sent to the people as mentioned in the prioritized list.
Most of the life loss after accident is due to the late detection and treatment. So we have included a accident detection setup which will send the immediate lend a help message to the ambulance and the people as mentioned in the prioritized list along with the location of the accident spot.
As the technology increases, the crime people also doing the crime technically. So they are easily breaking the security systems of the car. So we have added a special feature in our project which will reply its location if we send a message “where are you?”. Hence our car can be easily tracked.
1. ADVANCES TILLDATE
As far as in most of the papers the module which was used for the road safety that is accident control detection and in anti theft detection has been implemented separately but our project is to integrate all these modules into one with compatible to the user. The drawback in many of the reference paper is being overcome in our project. This is even low in cost and also the maintenance cost is very low when compared to the other reference papers. In detail many papers used eye blink sensors but the use of eye blink sensors is very sensitive the human eye and also it seems to be wearable all the time it makes the user uncomfortable and also the use of alcohol sensor alone did not cause accidents and also due to the micro sleep of the driver too and this was proved.Thus, finally by considering all those drawbacks and also to prevent the people from road accidents we are undergoing a project based on the driver vigilance monitoring systems.
2. SYSTEM DESIGN
The design of the system starts with basic block diagram of the system which is shown in Fig 1. This system basically consists of accelerometer, alcohol sensor, pulse sensor, vibration sensor, buzzer, relays, GPS and GSM interfaced with the microcontroller ARDUINO UNO. This system also has the tracking mechanism.
Arduino Microcontroller: It is a open source computer hardware and software company, project and user community that designs and manufactures microcontroller-based kits for building digital devices and interactive objects that can sense and control objects in the physical world
Alarm Section: It is used in a system to indicate or to grab the attention regarding an emergency situation occurred. Buzzer act as a panic horn which indicates the need of instant attention as the condition goes haywire.
Alcohol Sensor: Alcohol sensor is used to detect weather the person have consumed the alcohol or not. The sensor which we have used is MQ3 sensor.
1% BAC = 10g/L or 10,000 mg/L (1)
0.1% BAC = 1000 mg/L (2)
A person with 0.1% BAC has 1000 mg/L of alcohol in their blood and 1000/2100 = 0.4762 mg alcohol in their breath.
So, the final formula for calculating BAC from BrAC is:
% BAC = BrAC mg/L * 0.21
3. BLOCK DIAGRAM AND ITS EXPLANATION
This system basically consists of accelerometer, alcohol sensor, pulse sensor, vibration sensor, buzzer, relays, GPS and GSM interfaced with the microcontroller ARDUINO UNO. This system will detect the alcohol consumption of the driver. As alcohol consumption is increasing within the youth so the accidents are increasing day by day. Driver consumes alcohol and then they do rash driving as they do not have control on themselves.
Here we are designing a system which will detect the consumption of alcohol by the driver. Once detected, the vehicle will turn off the ignition and the buzzer will start. If driver start feeling drowsy then the pulse sensor will detect and will turn off the ignition and the buzzer will start. By vibration sensor the accident is detected, once it is detected GPS interfaced with microcontroller will continuously transmit the location of car on GOOGLE map to the base station. This system also has the theft control mechanism, when your car is found stolen, if you send the message “where is my car?”, it will reply with its location. The accelerometer sensor is used to detect the cars position, because due to accident the car may be twisted, which also detects the accident. All these parameters are transmitted to the base station with the help of GSM modem and at base, there is a Android app where the location of the car on GOOGLE map will be displayed.
6.CONCLUSION
In this paper we have designed a low cost, low power, product oriented design for detecting the drowsiness of the driver and alerting the driver to prevent an accident. The system is designed using a low power microcontroller and an accelerometer ADXL335. When an accident occurs message is sent to the rescue team so that they can take an appropriate action to reduce the level of damage. The message is also sent to the owner of the vehicle, who will know the driving behavior of the driver and also an early notice of an accident as and when it happens.
This project can be extended by integrating Accelerometer, Camera and Brain waves based drowsiness detection all on a single platform which simultaneously monitors the driver drowsiness, which provides more accurate results.