Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Face recognition has been around for a while, but in recent years it has become increasingly widely used. This is because machine learning has improved deep learning and allowed systems to analyse vast amounts of data more quickly. Higher accuracy and quicker processing speeds are the results of this. By 2027, it's predicted that the global industry for facial recognition will be worth $12.92 billion, and not just for safety and security. The study provides an introduction to the associated facial recognition and interface using flask and sqlalchemy technologies. The study discusses the many stages of development and associated technologies. We introduce face recognition research for actual conditions as well as generic evaluation criteria and face recognition databases. Face recognition and cloud computing are the future.
Keywords:
Face Recognition, Flask, open cv
Cite Article:
"Integration of Flask and Python on The Face Recognition Based Attendance System. ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1548 - 1555, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206228.pdf
Downloads:
000205329
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator