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IOT-Driven Room Security: Face Detection and Pin Access Control

Sachi Dhaturaha, Sajal Kesharwani, Shriya Chaturvedi, Khushi Pathak, Shamsher Singh


In our ever-evolving digital world, ensuring the security of our personal spaces has become paramount. This research paper introduces a smart anti-theft system powered by the Internet of Things (IoT). It combines face recognition, PIN code access, and motion-triggered face verification to fortify room security. If an unauthorized person tries to enter, the system instantly alerts both the owner and authorized users, while automatically locking the room. The term "Internet of Things" (IoT) refers to the expansion of internet connectivity to commonplace items and gadgets by incorporating sensors, hardware, and communication features. Through unique identifiers (UIDs), these networked devices can cooperate and interact with one another over the internet, facilitating features like remote health monitoring and enabling remote monitoring and control. Almost anything may join the Internet of Things ecosystem, from tiny pharmaceuticals to massive aircraft or self-driving cars, all thanks to reasonably priced computers and wireless networks. By giving normally lifeless objects a degree of digital intelligence, this transformation successfully closes the gap between the digital and physical domains by enabling real-time data transmission without the need for human intervention. The pivotal face recognition process is carried out through software on a connected laptop, ensuring only the right people gain entry. This paper explains the components, how it all works, and how users can easily control it. This project merges advanced security with user-friendliness, providing an affordable, hi-tech solution for safeguarding personal spaces within the IoT ecosystem.

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