Arduino IoT-Integrated Smart Door Lock System with Biometric and Facial Recognition

Yew, Hen Shen (2026) Arduino IoT-Integrated Smart Door Lock System with Biometric and Facial Recognition. Final Year Project (Diploma), Tunku Abdul Rahman University of Management and Technology.

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Abstract

The fast growing field of digital technology has identified the need for better access control systems to be secure, e!cient and simplified for the user in both residential and commercial contexts. Traditional mechanical locks can be easily duplicated, compromised and picked. Traditional electronic locks, which rely on PINs, keys or Radio frequency identification RFID cards for access control have little scalability and are vulnerable to theft or duplication. This work will design and develop and IoT integrated smart door lock system with a dual biometric approach to authentication fingerprint and facial recognition. Each lock will employ an Arduino as the primary controller, combined with various biometric components, a camera, IoT communication and a solenoid lock actuator. The IoT interface created by using the IoT communication technology would allow the user to employ remote access management, notifications and system monitoring via smartphone or web applications. The work will focus on using inexpensive components through open accessible atmospheric Microcontroller platforms, while still o"ering functionality and reliability for the system. The work will include evaluation of the system for accuracy, required response time and reliability under normal conditions. Further consideration includes social, environmental, ethical and safety considerations for the use of smart approaches to access and control technologies. Finally, this research has culminated in a functioning prototype to demonstrate that low-cost, IoT-enabled biometric smart locks do have a legitimate foothold in increased security, convenience and accountability in while a"ordability remains a concern