MISSING CHILD IDENTIFICATION SYSTEM USING DEEP LEARNING AND MULTI CLASS SUM

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C. VIJAY
G. VAMSHI
K. SONU
MOHAMMED TAJUDDIN
Y. HARATHI

Abstract

nIndia,reportsofmissingchildrenamounttoinfinityeachyear.Alargenumberofthechildrenin
casesofmissingchildrenremainunaccountedfor.Thisstudypresentsanoveluseofdeeplearningtechnology based
on face recognition to identify the youngster who has been reported missing from a big database of photos.
People can post comments and landmarks along with photos of dubious-looking kids on a public platform.
The image will instantly be compared to the registered photos in the repository belonging to the missing
child. After the supplied child photo has been categorized, the image that most closely matches the
databaseofmissingchildrenwillbeselected.Adeeplearningmodelistrainedtocorrectlyidentifythemissing child
from the missing child photograph using the publicly available facial image.

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How to Cite
MISSING CHILD IDENTIFICATION SYSTEM USING DEEP LEARNING AND MULTI CLASS SUM. (2025). Scientific Digest : Journal of Applied Engineering, 13(3), 255-264. https://www.joae.org/index.php/JOAE/article/view/110
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How to Cite

MISSING CHILD IDENTIFICATION SYSTEM USING DEEP LEARNING AND MULTI CLASS SUM. (2025). Scientific Digest : Journal of Applied Engineering, 13(3), 255-264. https://www.joae.org/index.php/JOAE/article/view/110

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