Missing Child Tracking System Using Deep Learning Methodologies

Children are the greatest asset of each kingdom. India is the second one populous country within the global and children represent a substantial percentage of general populace. But unluckily a big range of youngsters cross lacking every 12 months in India because of numerous motives which include abduction or kidnapping, run-away kids, trafficked youngsters and lost children. A deeply worrying fact approximately India's lacking youngsters is that even as on a mean 174 children cross lacking every day, 1/2 of them continue to be untraced. Children who go lacking may be exploited and abused for various purposes. A framework and method for growing an assistive device for tracing missing children is defined on this paper. An concept for preserving a virtual space is proposed, such that the recent images of kids given by using parents at the time of reporting lacking instances is saved in a repository. The public is given provision to voluntarily take pics of youngsters in suspected situations and uploaded in that portal. Automatic searching of this picture the various missing infant case pix could be provided inside the software. This helps the police officers to discover the kid everywhere in India. When a toddler is discovered, the picture at that point is matched against the pics uploaded through the Police/mother or father on the time of missing. A deep gaining knowledge of architecture considering a majority of these constrain prevailing around designed right here. The proposed gadget is relatively a smooth, cheaper, and dependable method compared to different biometrics like finger print and iris reputation systems.