Embedded system-based enhanced smart security systems for intelligent monitoring applications: A review

Abstract

The advanced smart security system uses palm vein technology and machine learning to enhance authentication. It combines biometric data with behavioral analysis, continuously adapting to improve security. AI integration allows for anomaly detection, distinguishing normal user interactions from suspicious activities. The user-friendly interface makes it accessible for various applications, ensuring resilient protection against evolving threats. The palm vein technology not only enhances security but also minimizes the risk of false positives and negatives, ensuring a reliable and efficient authentication process. In practical scenarios, the proposed system's versatility extends to securing confidential information in various sectors such as finance, research institutions, and government facilities. Its adaptability and compatibility with existing infrastructure make it a seamless and effective solution for organizations seeking to bolster their security measures. Moreover, the system's integration with mobile devices enables users to receive real-time notifications, allowing for prompt action in the event of a security breach. This feature contributes to the overall responsiveness and effectiveness of the security system, especially in remote locations where immediate intervention may be crucial. In conclusion, the advanced smart security system with palm vein technology not only introduces a novel approach to authentication but also addresses the limitations of existing models. The incorporation of machine learning, behavioral analysis, and real-time notifications significantly enhances its overall security features, making it a costeffective and reliable solution for a wide array of applications.