Face Recognition Technology Powered By Artificial Intelligence for Enhanced Security Measures

This study provides a general overview of face recognition technology's incorporation with artificial intelligence, which has emerged as an important component to enhance a nation's security in respect of internal as well as external threats. Machine learning and deep learning, which are subsets of artificial intelligence, can be crucial in respect of facial recognition by employing their algorithms and network architecture due to their accuracy and usability. The main objective of this study is to explore face recognition technology with the integration of artificial intelligence, which can be employed to secure various areas of human life, including homes, banking, education, and employment. This study, with the help of tables and a graphical chart, helps to comprehend recent technological developments in the related field and provides a way forward for addressing ethical implications and gray areas in the field of face recognition technology. Furthermore, this study, along with machine learning algorithms and deep learning network architecture, provides integration of transfer learning and data augmentation for better results in face recognition. This study outlines future research directions for addressing ethical and accuracy issues arising from the limitations of current algorithms.