Enhancement Of Cloud User Data Access Security Entrusted to AI

Face Recognition Techniques

M. Sumithra, Kiruthika.S, Nithya S, Poornima B, DharanyaS

Department of Information Technology, Panimalar Engineering College, Panimalar Engineering College, India

Sumithram.id, kiruthikaselvam30@gmail.com, nithyasarvesh20@gmail.com, poornimabalaji012@gmail.com,

dharanyasakthi19@gmail.com

Abstract

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.

Keywords: Face Recognition in Real Time, Automated Framework, Artificial Intelligence, Security.