Authors :
Abstracts : Cars have become a part of almost everyone’s life taking people from one place to another. In such a fast paced mode of transport, there are a variety of ways in which drivers can get distracted while driving. Getting stuck in a traffic jam, doing other tasks simultaneously while driving- for example drinking, talking over the mobile phone are various forms of distractions. The data from these expressive parts of the driver yield a high accuracy of distraction detection of over 90%. With such high accuracies, reliable systems could be built to have early warning or corrective mechanisms which would avoid or reduce the intensity of accidents caused due to driver distractions. This paper presents a new approach towards automobile safety and security.
Pages : 167-172
Downloads : 80
Publication Date :
Modified Date : 2018-04-30
SANA Y. SAYYED , SAYALI N. GURAP , JYOTI L. DEVADH , "ANTI-MOBILE CAR USING ARDUINO", JournalNX - A Multidisciplinary Peer Reviewed Journal, QIPCEI2K18, ISSN : 2581-4230, Page No. 167-172
Peer reviewed