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Driver drowsiness detection system alerts the driver if they feel drowsy or fall asleep behind the wheel. Continuous driving can be tedious and exhausting. A motorist may get droopy and perhaps nod off due to inactivity. We will use Mediapipe’s Face Mesh solution in python and the Eye Aspect ratio formula. Our goal is to create a robust and easy-to-use application that detects and alerts users if their eyes are closed for a long time. We will discuss the following: ✅Learn how to detect eye landmarks using the Mediapipe Face Mesh solution pipeline in python. ✅Introduce and demonstrate the Eye Aspect Ratio (EAR) technique. ✅Create a Driver Drowsiness Detection web application using streamlit. ✅Use streamlit-webrtc to help transmit real-time video/audio streams over the network. ✅Deploy it on a cloud service. ❓FAQ How does driver drowsiness detection work? Which algorithm is used for driver drowsiness detection? How can we detect when a driver is falling asleep? 📚 BlogPost link: https://learnopencv.com/driver-drowsi... ⭐️ Time Stamps:⭐️ 0:00-00:31: Introduction 00:31-00:59: Drowsiness Detection System 00:59-01:44: Eye Aspect Ratio 01:44-02:10: Inference & Result 02:10-02:33: Alternate Solution 🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow. 🤖 Learn from the experts on AI: Computer Vision and AI Courses YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level. https://opencv.org/courses #️⃣ Social Media #️⃣ 📝 Linkedin: / satyamall. . 📱 Twitter: / learnopencv 🔊 Facebook: https://www.facebook.com/profile.php?... 📸 Instagram: / learnopencv 🔗 Reddit: / spmallick 🔖Hashtags🔖 #AI #drowsydriver #drowsinessalert #driverdrowsiness #machinelearning #objectdetection #deeplearning #computervision