Face recognition based door locking with two-factor authentication using OpenCV

Halim, Muhammad Arif Azhari (2021) Face recognition based door locking with two-factor authentication using OpenCV. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This project develops a face recognition-based door locking system with two-factor authentication using OpenCV. It uses Raspberry PI 4 as the microcontroller. Face recognition-based door locking has been around for many years, but most of them are just face recognition without any added security features, and they are costly. The design of this project is based on human face recognition and the sending of a One-Time Password (OTP) using the Twilio service. It will recognize the person that goes to the front of the door. Only people who match the faces stored in the dataset and inputs the correct OTP will have access to unlock the door. Twilio service and image processing algorithm Local Binary Pattern Histogram (LBPH) have been adopted for use in this system. Servo motor operates as a mechanism to access the door. LBPH take a short time to recognize the face. Additionally, if an unknown face is detected, it will log this instance into a "Fail" file and accompanying CSV sheet.

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