Personnel access management system based on intelligent technology

This study proposed a personal access management systems using the intelligent technology. The main objective of this research is to address the security and inefficiencies in the conventional management methods. The proposed research adopts a micro-service architecture that supports several terminal access points and receives the effective control over the personal access. This work integrates the Vue3 tool and Spring Boot for the front-end development and back-end support, respectively. “Long Short Term Memory” (LSTM) a deep learning model is used for better analysis of behavior of visitors and better decision-making. The optimized identifies and authorization of users is achieved by using YOLO deep learning model. The proposed system is better than the state-of-the-art in multi-dimensional visitor analysis and achieving enhanced security.