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Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques
(
Elsevier B.V.
, 2018 , Conference Paper)
Road crashes and related forms of accidents are a common cause of injury and death among the human population. According to 2015 data from the World Health Organization, road traffic injuries resulted in approximately 1.25 ...
Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Qatar expects more than a million visitors during the 2022 World Cup, which will pose significant challenges. The high number of people will likely cause a rise in road traffic congestion, vehicle crashes, injuries and ...
Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
A sleepy driver is arguably much more dangerous on the road than the one who is speeding as he is a victim of microsleeps. Automotive researchers and manufacturers are trying to curb this problem with several technological ...