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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Impact factor: 8.15

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Paper Title: CRIMINAL IDENTIFICATION USING FACE DETECTION AND RECOGNITION
Authors Name: Ankita Avhad , Tejaswini Kere , Ravina Chandramore , Vrushali Nannaware , Prof. Rajendra Sabale
Unique Id: IJSDR2305107
Published In: Volume 8 Issue 5, May-2023
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. convolutional neural networks 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 using dib face recognition library
Keywords: Crime Detection, Neural network, Deep learning, Algorithm-task
Cite Article: "CRIMINAL IDENTIFICATION USING FACE DETECTION AND RECOGNITION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.717 - 719, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305107.pdf
Downloads: 000337067
Publication Details: Published Paper ID: IJSDR2305107
Registration ID:206347
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 717 - 719
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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