Application of Advanced Deep Learning Techniques for Face Detection and Age Estimation

In recent years, AI-based algorithms have been used to solve a wide range of previously intractable issues. Face detection and recognition from large groups, as well as feature identification from a description, are two of the most important security issues that can be addressed with image processing and modern AI. In this research, we use deep learning to analyze facial images to detect faces and estimate ages. The proposed method was used on photos of King Abdullah bin Abdulaziz AL Saud to determine his face and approximate his age. For this purpose, we relied on powerful deep learning models like DELWO and MTCNN to perform tasks like identifying faces and determining how old they are. The findings are very encouraging and promising. The experimental results have shown that the proposed method has good accuracy for face recognition (98.50%) and age estimation (82%).