A SURVEY ON AGE AND GENDER DETECTION

Age and gender detection is an important application of computer vision and artificial intelligence that aims to automatically estimate a person's age group and gender from facial images or video streams.With the rapid advancement of deep learning techniques, especially convolutional neural networks (CNNs), significant improvements have been achieved in accuracy and robustness.The system typically involves face detection, feature extraction, and classification stages, where facial attributes such as texture, shape, and spatial patterns are analyzed.Age estimation is often treated as either a regression or classification problem, while gender detection is handled as a binary or multi-class classification task.These models are trained on large-scale annotated datasets to handle variations in lighting, pose, facial expressions, and ethnicity.Age and gender detection has wide-ranging applications in security surveillance, human-computer interaction, demographic analysis, personalized marketing, and access control systems.Despite promising results, challenges such as bias, privacy concerns, and real-world variability remain active areas of research.