تصفح Qatar Transportation and Traffic Safety Center حسب الموضوع "Android"
السجلات المعروضة 1 -- 3 من 3
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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 ... -
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 ...