Driver Drowsiness Detection Using Raspberry Pi

Driver Drowsiness Is A Significant Factor Contributing To Road Accidents Worldwide. This Paper Proposes A Novel Approach To Mitigate This Problem By Developing A Driver Drowsiness Detection System (Ddds) Using Raspberry Pi. The System Utilizes Image Processing Techniques To Monitor The Driver's Facial Features And Detect Signs Of Drowsiness In Real-Time. A Combination Of Computer Vision Algorithms And Models Is Employed To Accurately Identify Fatigue-Related Symptoms Such As Eye Closure And Head Nodding. The Proposed System Offers A Cost-Effective And Efficient Solution For Enhancing Road Safety By Alerting Drivers When They Exhibit Signs Of Drowsiness, Thereby Reducing The Risk Of Accidents.