Enhancement Of Cloud User Data Access Security Entrusted to AI Face Recognition Techniques

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.

Cloud Computing to Tourism Economic Data Scheduling Algorithm under the Background of Image and Video

“… IaaS provides cloud users with on-demand physical and virtual resource services, such as servers, storage, and network services. A typical IaaS service is Amazon EC2/S3 [ 26 ]. Amazon is the first company to provide cloud computing products.…”

“…IaaS provides cloud users with on-demand physical and virtual resource services, such as servers, storage, and network services. A typical IaaS service is Amazon EC2/S3 [26]. e scheduling process from cloud users submitting data to returning processing results can be represented as shown in Figure 3.…”

(Retracted) Face recognition technology in classroom environment based on ResNet neural network

“…For the complete face recognition process, first use the ResNet network to train the local face, then use the RetinaFace algorithm to extract the face features, and then use ArcFace to compare the detected face area with the local face. [22][23][24][25] Figure 8 shows the actual effect of face recognition with or without occlusion obtained in this experiment. The English letters indicate the abbreviation of the recognized person's name, and the numbers indicate the cosine value of the test.…”

“…For the complete face recognition process, first use the ResNet network to train the local face, then use the RetinaFace algorithm to extract the face features, and then use ArcFace to compare the detected face area with the local face 22 – 25 …”

Technology Based on Interactive Theatre Performance Production and Performance Platform

“…e human face can be seen as a combination of skin, bones, and muscles, where the skin determines the visual appearance of the face, the bones determine the main contours of the face, and the muscles are used to connect the skin and bones to produce the main movements and expressions of the face [21,22]. erefore, if the virtual face is to produce a more realistic and natural expression, it is particularly important to complete the modeling of the muscle model.…”