In an era where technology continually strives to make our lives safer and more convenient, a remarkable project has emerged – the Anti-Sleep Alarm for Drivers. Leveraging the power of computer vision and deep learning, this innovative system aims to tackle one of the most pressing issues on our roads: drowsy driving. Developed using OpenCV, Dlib, and other cutting-edge libraries, the project utilizes a webcam to monitor a driver's facial expressions, particularly focusing on eye movement.

The heart of the system lies in its ability to detect signs of drowsiness or sleep through sophisticated facial landmark analysis. By tracking key points on the driver's face, the system can identify blinking patterns, a crucial indicator of fatigue. When prolonged periods of eye closure are detected, an alarm is triggered to jolt the driver awake, preventing potential accidents caused by drowsiness at the wheel. Moreover, the system goes a step further by incorporating email notifications, ensuring that not only the driver but also relevant contacts are alerted in real-time, providing license plate details and location for immediate assistance.

As we embrace the era of smart and connected technology, this Anti-Sleep Alarm for Drivers stands as a testament to the potential of artificial intelligence in enhancing road safety. By addressing the alarming issue of drowsy driving, this project serves as a beacon of innovation, showcasing how technology can be harnessed to safeguard lives and make our roads a safer place for everyone.

PROJECT GITHUB LINK (With Project PPT): - https://cutt.ly/AntiSleepAlarm