SURVEY ON A CRIMINAL IDENTIFICATION SYSTEM USING FACE DETECTION AND RECOGNITION
ANKITA AVHAD
, TEJASWINI KERE , VRUSHALI NANNAWARE , RAVINA CHANDRAMORE , PROF. RAJENDRA SABALE
Crime Detection, Neural Network, Deep learning Algorithm-task
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
"SURVEY ON A CRIMINAL IDENTIFICATION SYSTEM USING FACE DETECTION AND RECOGNITION", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.993 - 995, November-2022, Available :https://ijsdr.org/papers/IJSDR2211146.pdf
Volume 7
Issue 11,
November-2022
Pages : 993 - 995
Paper Reg. ID: IJSDR_202765
Published Paper Id: IJSDR2211146
Downloads: 000347211
Research Area: Engineering
Country: -, -, --
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
