A Revolutionary Approach to Smart Applications Using IoT: Two-Level Authentication for Automatic Safety Door and Main Door Unlocking System using IoT and Deep Learning
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Abstract
The increasing adoption of innovative door systems in residential and commercial usage has improved convenience in accessing the doors, but also introduced new security threats. Conventional approaches, such as facial recognition or pin code-based authentication, often rely on single-layer mechanisms, which can be vulnerable to intrusions. This paper proposes a two-level authentication framework to enhance door security and reliability. The primary level utilises facial recognition to grant access through a security door to registered users, including family members, authorised personnel, and trusted visitors. The second level secures the main entry door, which unlocks exclusively for recognized family members, thereby introducing an additional layer of protection. A key contribution of this approach is its ability to perform facial recognition once and leverage the verified data across both security stages, reducing redundancy while strengthening overall access control. The proposed system demonstrates the potential to improve innovative security solutions by integrating multi-layered authentication for enhanced safety in residential and office environments.
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