Abstract:

Abstract The concept behind the face age classification system is that every person has a distinct ethnicity and face. An individual's face has numerous distinctive structures and traits, much like their fingerprint. The task of determining facial age is difficult. Systems for facial recognition must function with extreme precision and accuracy, enable lightweight, portable devices, and be user-friendly. In comparison to a situation where just one photograph of each person is saved in the database, images captured while accounting for changing facial expressions or lighting circumstances allow the system to be more precise and accurate. The complete process of creating an Android mobile application for categorizing people as either adults, teenagers, or children is described and explained in full in this article, depending on the traits of their faces. Both the development tools and face classification techniques that have been employed in the creation of Android mobile applications are discussed and explained. The software solution explains the specifics of utilizing the OpenCV library and uses photos to display the actual outcomes of the mobile application.

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