Real-Time Based Driver's Drowsiness and Fatigue Detection System

An accident is an event that happens suddenly, unexpectedly, and unknowingly in an unexpected situation. Every day, thousands of road accident victims around the world succumb to injuries and deaths. Studies suggest that nearly a quarter of serious accidents on federal highways are caused by drivers operating vehicles with excessive fatigue, suggesting that driver fatigue leads to more accidents than drunk driving. doing. Long-distance drivers UN agencies skip opportunities, but long-distance driving usually causes drowsiness behind the car and carries the high risk of not achieving it on time. By using the technology of COMPUTER_VISION, a knowledge base that deals with computers, to develop technologies that facilitate a comprehensive understanding of digital images and videos, it becomes much more intelligent, and this developed drawback of detection. The solution would be to notify the driver about drowsiness. The main plan of this project is to develop OPEN_CV, a PC vision system. It automatically detects the driver's drowsiness on very short notice and can sound an alarm to warn the driver when he looks sleepy, which is unobtrusive. This method is based on the use of algorithmic rules that recognize and assist the motive force attention marker, check if the motive force is overly sleepy, and properly trigger an “alarm”.