After spending around 2 weeks working on a real-world Computer Vision project, I’m happy to share my Drowsiness Detection System using Python and OpenCV 🚀 This project focuses on detecting driver fatigue in real-time using a webcam. It identifies the face and eyes using Haar Cascade classifiers, and continuously monitors eye activity. If the eyes remain closed for a certain duration, the system triggers an alert sound notification to indicate possible drowsiness. During this project, I worked on: Real-time video capture and processing using OpenCV Face and eye detection using Haar Cascade classifiers Frame-based logic to track eye closure duration Implementing an alert system using sound notification Handling file paths and runtime stability issues This project really helped me understand how computer vision works in real-time environments and how small logical improvements can make a system more reliable and effective. It also strengthened my understanding of: Python programming OpenCV fundamentals Real-time system design Debugging and problem-solving skills Looking forward to building more such real-world projects and improving my skills in Computer Vision and AI development 🚀 GitHub Repo:- https://lnkd.in/gD8ystW9 #Python #OpenCV #ComputerVision #AI #MachineLearning #Project #CodingJourney #LearningByBuilding #Consistency #Programming

Impressive work! Real-time implementation makes it even more impactful✨

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