DROWSINESS DETECTION AND PREVENTION USING ARTIFICIAL FEATURE RECOGNITION
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Abstract
In Portugal, in the year 2022, there were 32.788 reported road accidents. Among the identified causes, driver fatigue emerged as the second major contributor to these incidents. Efforts to address this issue have resulted in the development of legislation over the years. Concurrently, aligning with initiatives in the European Union, the Fédération Internationale de l'Automobile (FIA) has actively promoted collaboration with the automotive industry to integrate safety-enhancing systems in vehicles, aiming to alleviate challenges such as driver fatigue.
The proposed strategy represents an intermediary solution, bridging the gap between the security provided by in-vehicle systems and the accessibility offered by mobile systems. The project's overarching goal is to ensure cost-effectiveness, efficiency, and widespread applicability. Leveraging Microsoft's Face API technology, the project seeks to capitalize on artificial intelligence to unlock a range of features, thereby achieving tasks that were previously deemed impractical or financially burdensome.
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