Facial Recognition by Using GAN and Blockchain
Budget: $250 – $750 USD
Clustering & Parallel Processing of Facial Recognition by Using GAN and Blockchain
Privacy computing is a good direction for GAN and blockchain. clustering and parallel processing of facial recognition by using GAN & blockchain is considerable work of this dissertation. For example, face recognition, one entity for recognition on all parts of one face, and don't know one part of that face, every part, such as nose, just is stored and recognized by one standalone server
clustering. Every server clustering is one node and every server clustering just use GAN for onepart recognition. The first node for recognizing the whole face can be called master node. All nodes will be designed one smart contract on blockchain to communication with each other based on secret protection (privacy protection, such as nose, mouth, etc.). In this dissertation first make
facial recognition using GANs then applying clustering and parallel processing of facial recognition for training then consider blockchain security in cluster/parallel processing.
Privacy computing is a good direction for GAN and blockchain. clustering and parallel processing of facial recognition by using GAN & blockchain is considerable work of this dissertation. For example, face recognition, one entity for recognition on all parts of one face, and don't know one part of that face, every part, such as nose, just is stored and recognized by one standalone server
clustering. Every server clustering is one node and every server clustering just use GAN for onepart recognition. The first node for recognizing the whole face can be called master node. All nodes will be designed one smart contract on blockchain to communication with each other based on secret protection (privacy protection, such as nose, mouth, etc.). In this dissertation first make
facial recognition using GANs then applying clustering and parallel processing of facial recognition for training then consider blockchain security in cluster/parallel processing.