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AUTHOR(S): Gonçalo Santos, Pedro Lopes, Damiana Guedes, Daniel Azevedo, Francisco Soares
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TITLE Using Artificial Intelligence to Prevent Drowsiness Based on Facial Recognition |
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ABSTRACT In Portugal, in 2017, there were 34,416 accidents on the roads. It is estimated that the second major cause of accidents is driver fatigue. In this way, over the years, legislation has been created to mitigate the problem. In parallel with the European Union, the Fédération Internationale de l'Automobile (FIA) has encouraged the automotive industry to develop systems embedded in vehicles to increase their safety and mitigate this and other problems. This approach is intended to be an intermediate solution, as to be the inbetween the security of a system embedded in a vehicle and the accessibility of a mobile system. In this way, the project aims to be as cheap, fast and applicable as possible. Using Face API technology provided by Microsoft, it is possible to have access to a set of features based on artificial intelligence, accomplishing tasks previously unthinkable, or very costly. |
KEYWORDS Artificial Intelligence, Alarm, Security, Control, Car Industry, API, IoT |
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Cite this paper Gonçalo Santos, Pedro Lopes, Damiana Guedes, Daniel Azevedo, Francisco Soares. (2023) Using Artificial Intelligence to Prevent Drowsiness Based on Facial Recognition. International Journal of Computers, 8, 45-52 |
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