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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: CRIMINAL AND MISSING PERSON DETECTION USING FACE RECOGNITION
Authors Name: SWAPNIL JOSHI , CHAITANYA MHASKE , NUTAN WAGH , NIKI SAHARE , PROF. SHARDUL SULEKHA
Unique Id: IJSDR2212099
Published In: Volume 7 Issue 12, December-2022
Abstract: Face recognition and detection are unimaginable inventions in today’s world when it comes to experiencing every crime. Protection, surveillance, entertainment sites, and criminal identification are just a few of the amazing applications. This device is particularly useful for customer screening in banks, airports, and other businesses. CNN needs more data for deep learning because it is still a facial recognition system, which is particularly problematic in the case of applications such as criminal investigations (murder, robbery, etc.). As a result, this project incorporates a face- recognition system that makes it easier and more reliable to scan for offenders, thus assisting police officers effectively and organization. In this paper, we implement the Deep Metric Learning to construct the face embedding for recognition process usingdib face recognition library
Keywords: Crime Detection Neural network Deep learning Algorithm-task
Cite Article: "CRIMINAL AND MISSING PERSON DETECTION USING FACE RECOGNITION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 12, page no.653 - 656, December-2022, Available :http://www.ijsdr.org/papers/IJSDR2212099.pdf
Downloads: 000201539
Publication Details: Published Paper ID: IJSDR2212099
Registration ID:203067
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier):
Page No: 653 - 656
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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