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Sensing Drunken Drivers Using Data Science
Published in IEEE
Pages: 1148 - 1151
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 happening around the road is mainly because of the drunk and drive. Through survelliance camera and alcohol measuring meters we can monitor the drunk and drive incidents around the city. But cars are speedy at highways where deploying security person for checking drunken drivers is unimaginobly difficult. To solve this in the prescribed work we deploy the sensors in every tool booth to monitor the incoming vehicles and stop the drunken drivers to further drive on the highway. This device is built from existing data acquired from the drunken drivers which is analyzed with machine learning techniques and mathematical data analysis models. © 2019 IEEE.
About the journal
JournalData powered by Typeset2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)
PublisherData powered by TypesetIEEE
Open AccessNo