FACE RECOGNITION SYSTEMS FOR MODERN WAY OF SECURITY

Abstract

In this difficult time full of obstacles and with the rapid spread of the Internet we find that the Artificial Intelligent, Internet of Things technology is hot and at the same time the biometric detection technology represented by face recognition technology will attract more attention. Face recognition technology includes large number and different types of applications, including security, personal authentication; secure internet connection, and computer entertainment. Face recognition technology is based on knowledge of the human facial features to identify and help train machine learning systems to meet the needs of artificial intelligence. The current known biotechnologies technology, facial recognition, attention to fingerprints, palm printer attention, awareness of the iris or retina, and voice recognition through visual acuity, these technologies may work. Among them, facial recognition, as the most widely used and appropriate biotechnology has clear advantages in terms of improved safety and no errors that require minimal consideration compared to other biometric assurance techniques, ease of integration costs and existing safety features, ease of use and general acceptance. In addition, for most of the services currently offered, the user authentication process can be done using this technology due to the high level of accuracy it provides in finding and detecting faces. It has excellent solutions in the public and commercial sectors. In these current years it has seen significant progress in this area due to the development of facial modeling and deep analysis techniques. However, there are many safety issues associated with this technology, whether on the part of the service provider and its user that we will try to enlighten on in this research work. It is expected that this new system is designed with strong safeguards to protect privacy. It is clear that institutions will obtain permission to enter this system through partnership agreements, and there will be clear restrictions on the ability of the private sector to access the data within the system.