Open AccessDrowsiness Detection System with Speed Limit Recommendation using Sentiment Analysis
Author(s) -
Kavyashree Subramonian,
G. Sumathi
Publication year - 2021
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a5848.0510121
Subject(s) - speed limit , computer science , limit (mathematics) , face (sociological concept) , hazard , warning system , warning signs , face detection , real time computing , facial recognition system , computer vision , artificial intelligence , simulation , pattern recognition (psychology) , transport engineering , engineering , telecommunications , mathematics , mathematical analysis , social science , chemistry , organic chemistry , sociology
Driving while drowsy is a ubiquitous and extremely grave public health hazard that requires immediate consideration. Through studies in recent years, it has been proved that about 20 percent of all car accidents have occurred as a result of dozy driving. The main objective of new drowsiness detection systems is accurate doziness recognition. In this regard, the face is the most important part of the body as it sends a lot of essential information. The facial expressions of a drowsy driver include frequency of blinking and yawning. This paper proposes a model which detects the drivers’ awareness using video stills of the driver’s face and improves the tracking accuracy. Further, we introduce the auxiliary functionality of speed limit recommendations based on the driver’s present state of mind. The various facial features are evaluated to determine the drivers’ current state. By combining the features of the eyes and mouth, the driver is alerted with a fatigue warning and also suggested a safe speed limit. This system is very essential so as to prevent and hence reduce the number of fatal accidents that occur as a result of dozy driving saving a lot of lives and damage to property.