Learn to build a free anti-spoofing and liveness detection system for face recognition in this comprehensive video tutorial. Explore computer vision techniques to differentiate between real and fake faces, enhancing the security of facial recognition systems. Follow step-by-step instructions on installations, face detection, data collection, preprocessing, model training, and implementation. Gain hands-on experience with popular tools like OpenCV, YOLO, and Google Colab while mastering concepts such as bounding box manipulation, blurriness detection, confidence scoring, and data normalization. By the end of this tutorial, develop the skills to create a robust anti-spoofing solution for various computer vision applications.