Drowsiness Detection System using Mobile Application Development

The development of drowsiness detection applications has become increasingly important within the automotive technology sector, success rates are far from optimal. Despite the potential life-saving impact of such applications, the possible role of dynamic risk management in the successful completion of drowsiness detection projects has not been directly explored in existing studies on the topic. Considering the theoretical, as well as practical significance of the issue, the research under consideration aimed to analyze the benefits, challenges, and best practices of dynamic risk management in projects like “Drive Guard” a drowsiness detection Android application, with emphasis on the development of a framework for its implementation in such applications.