05-03-2013, 02:07 PM
DRUNK AND SLEEP DETECTION FOR ROAD SAFTEY
INTRODUCTION
DRUNK AND SLEEP DETECTION FOR ROAD SAFTEY is a prototype to reduce the number of road accidents. The ever increasing numbers of traffic accidents all over the world are due to lack of driver’s vigilance level. Drivers with a diminished vigilance level suffer from a marked decline in their perception; recognition and vehicle control abilities & therefore pose a serious danger to their own lives and the lives of the other people. For this reason, developing systems that actively monitors the driver’s level of vigilance and alerting the driver of any insecure driving condition is essential for accident prevention. Many efforts have been reported for developing an active safety system for reducing the number of automobiles accidents due to reduced vigilance.
DROWSY DRIVING
Drowsiness is defined as falling asleep or a mere state of sleep. Driver drowsiness is an important factor in the motoring of vehicle accidents. It was observed that driving performance deteriorates with increased drowsiness with resulting crashes constituting more than 20% of all vehicle accidents
Drowsiness in drivers can be generally divided into the following categories:
• Sensing of physiological characteristics.
• Sensing of driver operation
• Sensing of vehicle response.
• Monitoring the response of driver
DRUNK DRIVING
Alcohol consumption is injurious to health. Still most of the people takes it, driving after alcohol consumption is a serious violation of law, still most do. Driving vehicles after alcohol consumption is called drunk driving. A small amount of consumption is not alarming. Where as a heavy consumption and driving costs life of the driver as well as others. So a system should be there to minimize such risks.
DRUNK AND SLEEP DETECTION SYSTEM
Now a day’s road accident is a major problem all over the world. The recent report says 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 organization (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 drowsy driving in vehicles. Another latest report of National Crime Records Bureau or NCRB says that 40 people under the age of 25 die in road accidents all around the world. It states that the drunk and sleepy driving is a major factor for the rising of death on roads. Such 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 and sleepy 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. Most of the accidents occur outside the cities are due to drunken driving and sleepy driving and no testing methodology is adopted to avoid these fatalities in highways. Motorists parking their vehicles in No-parking areas increase the rate of traffic in the metropolitan cities. In Indian road system, widening of the road is not an alternative solution to avoid traffic in such a cities .
EXISTING SYSTEM
In the present scenario drowsiness in drivers can be detected by Measuring changes in physiological signals, such as brain waves, heart rate And measuring physical changes such as sagging posture, leaning of the driver’s head and the open/closed states of the eyes.
Alcohol level is measured by forceful blowing and EEG analysis.
PROPOSED SYSTEM
The proposed drunk and sleep detection system employs image processing to find drowsiness and a high power alcohol sensor to detect alcohol. This technique is well-suited for real world driving conditions since it can be non-intrusive by using video cameras to detect changes. The proposed system is based on eyes opening area of the driver. By monitoring the eyes and mouth, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident. The eye opening area reduces beyond the normal rate in the fatigued state. In addition, micro sleeps that are the short periods of sleep lasting 3 to 4 seconds are the good indicator of the fatigued state, but it is difficult to predict the driver fatigue accurately or reliably based only on single driver behavior. It also employs a alcohol sensor to detect a drunken driver. If the driver is drunk the vehicles speed lowers and finally comes to halt. This system is non intrusive and most efficient and suffers no drawbacks. Hence this system will help in reducing the number of road accidents and deaths.
PIC Microcontroller
Microcontrollers are destined to play an increasingly important role in revolutionizing various industries and influencing our day to day life more strongly than one can imagine. Since its emergence in the early 1980's the microcontroller has been recognized as a general purpose building block for intelligent digital systems. It is finding using diverse area, starting from simple children's toys to highly complex spacecraft. Because of its versatility and many advantages, the application domain has spread in all conceivable directions, making it ubiquitous. As a consequence, it has generate a great deal of interest and enthusiasm among students, teachers and practicing engineers, creating an acute education need for imparting the knowledge of microcontroller based system design and development. It identifies the vital features responsible for their tremendous impact, the acute educational need created by them and provides a glimpse of the major application area.
INTRODUCTION
DRUNK AND SLEEP DETECTION FOR ROAD SAFTEY is a prototype to reduce the number of road accidents. The ever increasing numbers of traffic accidents all over the world are due to lack of driver’s vigilance level. Drivers with a diminished vigilance level suffer from a marked decline in their perception; recognition and vehicle control abilities & therefore pose a serious danger to their own lives and the lives of the other people. For this reason, developing systems that actively monitors the driver’s level of vigilance and alerting the driver of any insecure driving condition is essential for accident prevention. Many efforts have been reported for developing an active safety system for reducing the number of automobiles accidents due to reduced vigilance.
DROWSY DRIVING
Drowsiness is defined as falling asleep or a mere state of sleep. Driver drowsiness is an important factor in the motoring of vehicle accidents. It was observed that driving performance deteriorates with increased drowsiness with resulting crashes constituting more than 20% of all vehicle accidents
Drowsiness in drivers can be generally divided into the following categories:
• Sensing of physiological characteristics.
• Sensing of driver operation
• Sensing of vehicle response.
• Monitoring the response of driver
DRUNK DRIVING
Alcohol consumption is injurious to health. Still most of the people takes it, driving after alcohol consumption is a serious violation of law, still most do. Driving vehicles after alcohol consumption is called drunk driving. A small amount of consumption is not alarming. Where as a heavy consumption and driving costs life of the driver as well as others. So a system should be there to minimize such risks.
DRUNK AND SLEEP DETECTION SYSTEM
Now a day’s road accident is a major problem all over the world. The recent report says 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 organization (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 drowsy driving in vehicles. Another latest report of National Crime Records Bureau or NCRB says that 40 people under the age of 25 die in road accidents all around the world. It states that the drunk and sleepy driving is a major factor for the rising of death on roads. Such 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 and sleepy 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. Most of the accidents occur outside the cities are due to drunken driving and sleepy driving and no testing methodology is adopted to avoid these fatalities in highways. Motorists parking their vehicles in No-parking areas increase the rate of traffic in the metropolitan cities. In Indian road system, widening of the road is not an alternative solution to avoid traffic in such a cities .
EXISTING SYSTEM
In the present scenario drowsiness in drivers can be detected by Measuring changes in physiological signals, such as brain waves, heart rate And measuring physical changes such as sagging posture, leaning of the driver’s head and the open/closed states of the eyes.
Alcohol level is measured by forceful blowing and EEG analysis.
PROPOSED SYSTEM
The proposed drunk and sleep detection system employs image processing to find drowsiness and a high power alcohol sensor to detect alcohol. This technique is well-suited for real world driving conditions since it can be non-intrusive by using video cameras to detect changes. The proposed system is based on eyes opening area of the driver. By monitoring the eyes and mouth, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident. The eye opening area reduces beyond the normal rate in the fatigued state. In addition, micro sleeps that are the short periods of sleep lasting 3 to 4 seconds are the good indicator of the fatigued state, but it is difficult to predict the driver fatigue accurately or reliably based only on single driver behavior. It also employs a alcohol sensor to detect a drunken driver. If the driver is drunk the vehicles speed lowers and finally comes to halt. This system is non intrusive and most efficient and suffers no drawbacks. Hence this system will help in reducing the number of road accidents and deaths.
PIC Microcontroller
Microcontrollers are destined to play an increasingly important role in revolutionizing various industries and influencing our day to day life more strongly than one can imagine. Since its emergence in the early 1980's the microcontroller has been recognized as a general purpose building block for intelligent digital systems. It is finding using diverse area, starting from simple children's toys to highly complex spacecraft. Because of its versatility and many advantages, the application domain has spread in all conceivable directions, making it ubiquitous. As a consequence, it has generate a great deal of interest and enthusiasm among students, teachers and practicing engineers, creating an acute education need for imparting the knowledge of microcontroller based system design and development. It identifies the vital features responsible for their tremendous impact, the acute educational need created by them and provides a glimpse of the major application area.