BUILDING HELPLINES AND CARING FOR MISSING CHILDREN USING DEEP LEARNING ALGORITHM

Every 30 seconds, a child goes missing in India and majority of them are girls and from poor socio-economic background. Referring to government figures accepting that only 55 percent of them are fortunate to reach their homes, the Supreme Court observed that nobody seems to care about missing children. This is the irony. Many of these missing children tragically find themselves being trafficked to an unknown and dangerous world which is sometimes thousands of miles away from home and end up as child labour,begging,inmates of a shelter home, or forced into trade. It is possible to ensure child protection and address the problem of missing children with active support of the civil society anfortunately there is face detection using Haar classifier algorithm. The present paper described the processes utilized by a parents will post they missing children in web application with manual and automatic location with resources that missing children reunite with their families. Compared with normal deep learning applications, our algorithm uses convolution network only as a high level feature extractor and thus the kid recognition is completed by the trained SVM classifier. Choosing the foremost effective performing Haar classifier algorithm model for face recognition, Face and proper training of it finally ends up during a very deep learning model invariant to noise, contrast, image pose and also the age of the children and earlier methods in face recognition based missing child identification and child dead police case also identification using deep learning.