C1 Analysis on Driver Drowsiness and Attention Aider System

Billions of accidents happen due to drowsiness. For a variety of reasons, drivers are more likely to become tired or distracted under certain circumstances. Accidents caused by drowsy driving are significantly on the rise in the modern world. Most drivers report feeling short on energy as a result of their weariness or fatigue from all the effort. They consequently frequently experience sleepiness throughout the driving. These fatigues greatly enhance the likelihood of accidents occurring. Therefore, the goal of this research is to create a model that can recognise driver tiredness and emit an alarm anytime the driver exhibits signs of being sleepy or drowsy. The majority of expensive automobiles have these models built right in; however, the majority of cars on the road today lack this technology. Python is being used as the implementation language for this project. In this research, our main goal is to develop a sleepiness detection model that is both effective and inexpensive in terms of price and availability. This project’s primary focus is facial detection using the ROI of both eyes rather than the entire face.