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)
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✔ full source code,
✔ dataset,
✔ documentation,
✔ and 21 more Computer Vision projects with certificate?
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What you get:
All source codes
21 AI/Computer Vision projects
Datasets + reports
Certificate of completion
Lifetime access
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