Design and Implementation of an IoT-Based Smart Home and Door Lock with Facial Verification
DOI:
https://doi.org/10.58466/ereqdm31Keywords:
Smart home,IoT, ESP32, doorlock, HuskylensAbstract
Advancements in Internet of Things (IoT) technology have brought about significant changes across various aspects of life, including home security systems. This research aims to design and implement a smart home and smart door lock system that utilizes facial recognition technology for authentication, thereby enhancing both security and convenience for residents. The system incorporates a camera to capture facial images, an ESP32 microcontroller as the central controller, and an electric solenoid lock. Facial identification is performed using a machine learning-based recognition method executed either locally or via a cloud-based server. IoT connectivity enables users to monitor and control the system remotely through a web application or smartphone. Additional features include real-time notifications, control of household appliances (such as lights and fans), and access history logging. Test results demonstrate that the system achieves high facial recognition accuracy and provides rapid responses for unlocking doors and controlling home devices. This system optimizes home security while offering users the convenience of automated, integrated home management.
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References
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