Day - 3 Face Detection with OpenCV and Python

#facerecognition #pythonanddjangofullstackwebdeveloper #django #machinelearning Welcome to Day 3 of our AI and ML Enthusiast Course: Building a Face Recognition Web App with Django, Machine Learning, and AWS Deployment! 🚀 In this session, we’ll explore one of the most exciting parts of Computer Vision — Face Detection using OpenCV and Python. You’ll learn how to detect faces in real time using both Haar Cascade Classifiers and Deep Neural Network (DNN) models. By the end of this video, you’ll have a solid understanding of how modern AI systems identify faces from live webcam feeds and images — a crucial step before training your Face Recognition model. What You’ll Learn How Face Detection works in OpenCV Using Haar Cascade Classifier for real-time detection Using Deep Learning-based Face Detector (Caffe / DNN model) Drawing bounding boxes around detected faces Capturing faces from webcam for dataset creation Saving detected face images for model training