Deep Neural Networks and Computer Vision for Real-Time Facial Landmark Detection

Using a deep learning model and a video camera stream, this study presents a real-time face landmark identification system. Because landmark detection is the foundation of many applications, such as biometric security systems, a good model is essential for future development ideas. A real-time facial landmark detector was constructed using the ResNet50 model, a dataset of 5770 photos and a CSV file with 68 landmarks corresponding to each image.