Driver Monitoring and Car Automation System Using Artificial Intelligence
AbstractIn today's world, our vehicles play a very important part in our day-to-day lives. People experience a high number of accidents, injuries, and other types of inconveniences as a direct result of drowsiness. Because the individual was drowsy, they were unaware of what was going on in their surroundings. With the assistance of artificial intelligence, we keep a close eye on the driver. The primary functions are to determine whether or not the driver is sleepy and to regulate the vehicle's speed. The ESP32 camera will first take a picture of the driver's face before moving on to the next step, which is a comparison of the data set and the image that was obtained. Finally, tiredness was recognized in the sensing motor, which caused the engine speed to drop. If it hadn't been for this detection, there wouldn't have been any disruptions in the car. The concept of the system will be based on a drowsy driver warning system, with the goal of reducing the number of accidents caused by drivers in a temporarily fatigued condition. We propose and put into action a hardware system that is centered on infrared light and has the potential to be used in the process of addressing these issues. In the approach that has been presented, the phase that comes after the face identification stage is where the facial components that are thought to be the most effective for sleepiness are retrieved and monitored in video sequence frames. These facial components are regarded to be more significant
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