An Approach to Develop Missing Child Identification System using Deep Learning Methodologies

Every nation's most precious resource is its children, and a nation's the future rests on how well its youth are raised. Children make up a sizable section of the population of India, the second most populous nation in the world. However, a concerning number of children in India disappear each year for a variety of causes, such as kidnapping, trafficking, abduction, runaway children, and children becoming dropped. A framework for creating a system to help find missing children is presented in this study. The intention is to establish a digital archive where parents can upload recent photos of their kids when they report a missing child. Additionally, this portal would allow the public to contribute pictures of kids who were spotted in questionable situations. In order to help police authorities find the juvenile wherever in India, the system would instantly compare the uploaded photos to the database of missing children. The current image and those uploaded by parents or law enforcement at the time the child was reported missing are compared by the system when a youngster arrives. Children who have been missing for a long time can be difficult to identify since their facial features change as they get older. Facial identification becomes challenging as people age because of changes in skin texture and facial shape. This age disparity must be taken into consideration by the system in order to develop feature discriminators that are immune to the effects of ageing. likewise, variations in a child's posture, lighting, direction, occlusions, or background noise can all affect how their face appears. The suggested method uses cutting-edge facial recognition technology that is tailored to real-world situations in an effort to enhance the detection and rescue of missing children.