![]() ![]() This dataset includes over 270,000 images, and its size is roughly 2 GB. A Kaggle website dataset is utilized for ages 4 to 59. Several experiments have been conducted on MATLAB to verify and validate results and relative errors. This algorithm extracts data from one of the essential parts of the face: the eyes. A segmentation algorithm is engaged since the approach takes its input from a video stream or an image. This method uses the color intensity of eyes and a Convolutional Neural Network (CNN) to predict age in real time based on the ensemble of CNN. In this paper, proposing a practical, consistent, and trustworthy method to predict age is presented. These residents are urgently advised to vaccinate against COVID-19 based on their age. ![]() The health sector has gained increasing attention as the government has introduced age-based policies to improve the health of its elderly residents. In Saudi Arabia, Vision 2030, concerning the quality of life, is one of the twelve initiatives that were launched recently. ![]() However, these approaches lack accuracy because every image has unique features, such as shape, pose, and scale. Multiple methods have been implemented and developed to predict age. In the medical field, Alzheimer’s disease mainly depends on patients’ ages. Recently, researchers have turned their focus to predicting the age of people since numerous applications depend on facial recognition approaches. ![]()
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