Artificial intelligence is used to develop techniques for verifying people by sensory factors. This article aims to design a robot to verify the entry of the authorized persons to the firms. This paper uses neural networks with artificial intelligence applications to authenticate people, while the program is based on testing four factors: the face, eye, voice, and handprint. The AI application depends on a mathematical algorithm to test the authority of staff; meanwhile, neural networks analyse and examine the visual systems that connect imaging devices (camera) with a computer. Moreover, this is done through the huge amount of data in a smart computer database that can be updated, with speed and objectivity, through the Internet to reach accurate results. The results indicate that the model designed for artificial intelligence has economic feasibility; in addition to that, it can help detect diseases that can affect employees by multiple parametric methods of verification.
"Employing AI Applications to Authenticate People through Neural Networks,"
Information Sciences Letters: Vol. 11
, PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol11/iss6/2