Abstract
Abstract: The growing incidents of missing children are a cause of concern. Child trafficking and abduction are major factors that lead to missing cases. A large number of child trafficking victims are very young. When it comes to identifying missing persons or victims of disasters, one of the biggest challenges is the difficulty of obtaining accurate facial images. Often, the passage of time can cause a person's appearance to change significantly from the photos that their loved ones may have on hand. Additionally, in cases where a person has gone missing, there may be few or no photos available to use for identification purposes. This causes a need to create a system which will help find lost children through the child face aging mechanism where only limited data such as a picture (childhood picture) is available. The proposed system will help families find their lost or missing children by uploading their pictures and providing their information through the app. Using Face Aging Generative adversarial networks (GAN) the childhood image will be reconstructed to resemble the child's face at the present time. Additionally, users will be notified if a child goes missing in their locality or area.
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