Face Mask Detection using Python | OpenCV + Deep Learning | AI Project + Source Code | Tamil

😷 Welcome to this practical Face Mask Detection AI Project using Python, OpenCV, and Deep Learning! In this Tamil explained (தமிழில் விளக்கம்) video, you will learn how to build a real-time face mask detection system with step-by-step explanation. Perfect for Tamil engineering students, beginners, AI learners, and final-year project developers. 🧠 What You’ll Learn (Tamil-friendly explanation) ✅ Detect whether a person is wearing a mask or not ✅ Train a Deep Learning model for mask classification ✅ Combine face detection + mask detection using OpenCV ✅ Run real-time detection using webcam/CCTV ✅ Build a complete AI safety monitoring system in Python This tutorial is explained in a simple Tamil teaching style, but all code & concepts stay in English so you can follow easily. ⚙️ Technologies & Tools Used Python 🐍 OpenCV (Computer Vision) TensorFlow / Keras CNN Model Real-Time Video Processing 📅 Project Workflow 1️⃣ Dataset collection & preprocessing 2️⃣ Deep learning model training 3️⃣ Face detection (Haar Cascade / SSD) 4️⃣ Mask classification 5️⃣ Real-time monitoring + alerts 🕒 Face Mask Detection Project Timeline 00:00–00:40 → Project Outcome What the system detects — mask, no-mask, incorrect mask — and real-world use cases. 00:40–02:00 → Introduction Why mask detection is important, applications in workplaces, hospitals, public spaces. 02:00–03:30 → System Requirements Camera setup, Python version, required libraries (OpenCV, TensorFlow/YOLO). 03:30–05:00 → Environment Setup Installing Python, dependencies, folder structure, preparing the workspace. 05:00–06:50 → Dataset Overview Mask vs. no-mask image classes, dataset quality, annotation format. 06:50–09:20 → Model Setup (YOLO / CNN / MobileNet) Loading pre-trained model or training setup, configuring weights. 09:20–12:30 → Face Detection & Preprocessing Detecting faces, resizing, normalization, preparing for inference. 12:30–15:50 → Mask Classification Logic Predicting mask/no-mask, confidence scores, handling edge cases. 15:50–18:20 → Real-time Mask Detection Webcam feed inference, bounding boxes, labels, FPS optimization. 18:20–21:00 → Alert & Logging System Warnings for no-mask, logging events, saving detections. 21:00–23:46 → Conclusion Final results, accuracy summary, improvements, and next steps. ⭐ Full Source Code + 21 More CV Projects (Tamil Students Special) 🎓 Want this Face Mask Detection project’s ✔ full source code, ✔ dataset, ✔ documentation, ✔ and 21 more Computer Vision projects with certificate? 👉 Unlock everything here → [ https://www.udemy.com/course/computer-vision-mastery-real-time-projects-opencv-python-ai-yolo/?referralCode=C219F7481A635FD9196A ] What you get: All source codes 21 AI/Computer Vision projects Datasets + reports Certificate of completion Lifetime access 🔥 Limited-time Udemy deal — Tamil student friendly. Check the price before it expires! 📌 Don’t forget to: 👍 Like 💬 Comment 🔔 Subscribe for more AI & Python Tutorials (explained in Tamil) #FaceMaskDetection #aiprojects #pythonprojects #computervision #opencv #deeplearning #aiml #tamiltech #pythoninpython #finalyearproject #machinelearning