Human Face Detection and Recognition in eHealth Implications for Blockchain Data Theory

Abstract

This Facial recognition is a broad category of technologies used largely for surveillance. Now a days universities and multinational companies have already begun to use these incredibly important technologies to track attendance and identify individuals. The primary goal of a facial recognition system is to confirm a person’s identity by using a training database. A large number of training samples are required by the facial recognition system, which must be maintained in every storage site. As a result, storing facial photos on the blockchain creates a secure platform that is impervious to data breaches and cyber-attacks while also ensuring data availability. The facial recognition software system and the blockchain function are discussed, and a real-time facial recognition system has been built. Blockchain is also utilised to manage databases in an eHealth data management system. Patient facial data is saved on a distributed server in a secure manner.