2771-1463ISSN (Online)
2771-1471ISSN (Print)
Volume 2, Issue 2, PP: 60-64, 2022 | Cite this article as | XML | | Html PDF
M. Sumithra 1 , Kiruthika.S 2 , Nithya S 3 , Poornima B 4 , DharanyaS 5
Doi: https://doi.org/10.54216/JCHCI.020204
As technology progresses, in figuring and broadcast communications, electronic images and video are
playing more important roles in today's data age. The Human Face is a key component of video and audio
databases utilized by observation frameworks. Recognizing and locating human features and face
highlights in a photograph or series of photographs is a difficult task in unusual scenarios, such as
recordings, when acoustic conditions, illumination, subject regions, and posture can vary dramatically
from edge to edge. A Human Face is an automated framework that a school uses to monitor the
engagement of its employees and students. Using the Real-Time Face Recognition utility, distinct
customer faces are identified and perceived with the information base to look after a company's
representatives and their activities. Although the cloud offers numerous advantages, it does have one clear
disadvantage: the level of protection required to access user data. The cloud poses the possibility of
unauthorized access to user data. The user data was taken from the cloud application due to a security
issue in the cloud. As a result, many people are concerned about their data. So, in this study, we'll use Face
Recognition Technology to solve the problem. Using Artificial Intelligence Face Recognition The user is
the only one who has access to the cloud. If someone else tries to access or steal data from the cloud, it
will notify the user. User data may be safeguarded and only the verified user can access the Cloud
utilizing real Face Recognition Technology.
Face Recognition in Real Time, Automated Framework, Artificial Intelligence, Security.
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