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Drunk Drive Detection
What's Drunk Drive Detection APK?
Drunk Drive Detection is a app for Android, It's developed by Sambhaji Karad author.
First released on google play in 6 years ago and latest version released in 6 years ago.
This app has 0 download times on Google play and rated as 4.38 stars with 16 rated times.
This product is an app in Entertainment category. More infomartion of Drunk Drive Detection on google play
According to World Health Organization (WHO), India leads world in road deaths. Road accidents have earned India a dubious distinction. With over 130,000 deaths annually, the country has overtaken China and now has the worst road traffic accident rate worldwide. This has been revealed by the World Health Organization (WHO) in its first ever Global Status Report on Road Safety. The report pointed to speeding, drunk driving, seat belts and child restraints in vehicles as the main contributing factors. In India alone, the death toll rose to 14 per hour in 2014 as opposed to 13 the previous year. The total number of deaths every year due to road accidents has now passed the 135,000 mark. Despite the fact that drunk driving is a serious problem, its detection has been so far relying on visual observations by police officers.
However, relying on visual observation of police officers to prevent drunk driving is insufficient. First of all, given the huge mileage of roads, the number of police officers is far from enough to observe and analyze every driver’s behaviors. Second, the guidelines of drunken driving patterns are only descriptive and qualitative. It is also imaginable that even a drunk driver is stopped by a police officers, the driver may have been on the way for dozens of miles. It is preferable that the actively monitoring system satisfies the following requirements:
1. A real-time monitoring system with quick response.
2. A reliable system performing accurately.
3. A non intrusive system and a low cost system.
However, relying on visual observation of police officers to prevent drunk driving is insufficient. First of all, given the huge mileage of roads, the number of police officers is far from enough to observe and analyze every driver’s behaviors. Second, the guidelines of drunken driving patterns are only descriptive and qualitative. It is also imaginable that even a drunk driver is stopped by a police officers, the driver may have been on the way for dozens of miles. It is preferable that the actively monitoring system satisfies the following requirements:
1. A real-time monitoring system with quick response.
2. A reliable system performing accurately.
3. A non intrusive system and a low cost system.
