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Advanced Smart Lock Systems

 

Authors: 

Balaji Shivram R U

UG Student, Dept. of CSE Jain (Deemed-to-be) University

Erode, Tamil Nadu balajishivramru@gmail.com

Giri Prasath

UG Student, Dept. of CSE Jain (Deemed-to-be) University

Hosur, Tamil Nadu giriprasath714@gmail.com

Gowreesh J K

UG Student, Dept. of CSE Jain (Deemed-to-be) University

Erode, Tamil Nadu gowreesh.jk03@gmail.com

Kavya Sri

UG Student, Dept. of CSE Jain (Deemed-to-be) University

Coimbatore, Tamil Nadu kavyakeyan@gmail.com

Sindhanur Jahnavi

UG Student, Dept. of CSE Jain (Deemed-to-be) University

Hospet, Karnataka jahnavisindanur28@gmail.com

Dr. P. Srinivasa Rao

Professor, Dept. of CSE Jain (Deemed-to-be) University

Andhra Pradesh srinivasa.p@jainuniversity.ac.in

Abstract— This paper introduces a smart lock system that integrates IoT, artificial intelligence, and computer vision to enhance security and accessibility. The system is built on an Arduino platform, incorporating an NFC reader, keypad, PIR sensor, ultrasonic sensor, Bluetooth module, and servo motor, along with an ESP32-CAM module for facial recognition and real- time object detection. By leveraging motion sensors and a YOLO- based deep learning model, the system detects the number of individuals present, analyzes body build, and identifies outfit colors, generating audio descriptions to assist visually impaired users. Authentication is conducted through NFC tags, a keypad, and Bluetooth communication, with SHA-256 encryption ensuring secure access. Successful authentication triggers the servo motor to unlock the door, while unsuccessful attempts activate an alert system and log access attempts for security monitoring. Additionally, IoT-enabled remote access and real-time notifications improve control over entry points in residential and commercial settings. Performance evaluations indicate high accuracy in person detection and outfit recognition, demonstrating the system’s effectiveness. Future developments aim to integrate cloud-based authentication, mobile applications, and AI-driven behavioral analysis for further enhancements.

Keywords—Smart Locks, Smart Automation, Assistive Technology, Smart home integration, Internet of Things (IoT), AI- based Authentication

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