A study on AI-based face recognition

AUTHOR(S)

Sonali S. Kamlapurkar, Sunkara Dhaavani, Sankarshan A. Kulkarni, Tejas Deshpande, Dr. Pavithra G., Dr. Sindhu Sree M., Dr. T.C.Manjunath, Rajashekher Koyyeda, Aditya T.G.

DOI: https://doi.org/10.46647/ijetms.2023.v07i03.081

ABSTRACT
A Study on AI-based face recognition is discussed briefly in this paper. Facial recognition technology is a biometric system that identifies a person by analyzing their facial features. The process involves capturing facial images, which are then automatically processed by recognition equipment. This paper provides an overview of face recognition research from various perspectives. It outlines the development stages and technologies of facial recognition and discusses research into real-life conditions. Additionally, it introduces the general evaluation standards and databases used for facial recognition. Finally, the paper provides a forward-looking view of the technology, which is expected to be a key direction of future development and has potential applications in various fields. This paper presents a comprehensive overview of AI-based face recognition technology, which is a biometric technology based on the identification of facial features of a person. The study covers the development stages, related technologies, research for real-world conditions, evaluation standards, and databases of face recognition. The paper also provides a forward-looking view of the potential application prospects of face recognition. Through this study, we aim to enhance the understanding of AI-based face recognition technology and its potential impact on various industries. The work done & presented in this paper is the result of the mini-project work that has been done by the first sem engineering students of the college and as such there is little novelty in it and the references are being taken from various sources from the internet, the paper is being written by the students to test their writing skills in the starting of their engineering career and also to test the presentation skills during their mini-project presentation. The work done & presented in this paper is the report of the assignment / alternate assessment tool as a part and parcel of the academic assignment of the first year subject on nanotechnology & IoT.

Page No: 562 - 565

References:

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How to Cite This Article:
Sonali S. Kamlapurkar, Sunkara Dhaavani, Sankarshan A. Kulkarni, Tejas Deshpande, Dr. Pavithra G., Dr. Sindhu Sree M., Dr. T.C.Manjunath, Rajashekher Koyyeda, Aditya T.G. .A study on AI-based face recognition . ijetms;7(3):562-565. DOI: 10.46647/ijetms.2023.v07i03.081