Drinking alcohol in excess leads to lower self-consciousness, damaging a persons
judgment and thus enhances risk of aggressive behavior. It leads to various problems like …

Drunk and distracted driving have been prime reasons for road accidents. An increase in
population in urban cities leads to the risk of increasing deceased cases due to road …

In recent days, public safety service attracts attentions because of increasing crime rates. In
this paper, heterogeneous data based danger detection (HDDD) mechanism is proposed for …

Drunk driving is the act of operating a motor vehicle while under the influence of alcohol or
other drugs that can impair a person's ability to drive. It is a serious offense that can lead to …

Traffic accidents cause over a million deaths every year, of which a large fraction is
attributed to drunk driving. An automated intoxicated driver detection system in vehicles will …

Abnormal driving refers mostly to drunk driving, fatigue driving, and aggressive driving
behaviors. This work addresses drunk driving detection, which actually can be extended to …

The quick and accurate identification of criminal activity is paramount to securing any
residence. With the rapid growth of smart cities, the integration of crime detection systems …

Global Effoets for reducing the accidents are growing faster but the accidents happened is
growing are the fastest one. An analysis clealy shows around 30 percent of the accidents …

In this paper, we present a method that is able to detect abnormal behavior of intoxicated
people in surveillance videos. We first describe typical behavior patterns of intoxicated …

The allocation of resources to challenge city centre violent crime traditionally relies on
historical data to identify hot-spots. The usefulness of such data-driven approaches is limited …