Development of smart door unlock system based on face recognition technology

Soo, Ying San (2021) Development of smart door unlock system based on face recognition technology. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

With the change of times, the progress of science and technologies have not only improved people's lives but also generated a lot of safety problems. With the rise of crime, people began to pay attention to privacy and home security. One of the important aspects of the door lock system is the security capability that can lock and unlock the door in simple and secure ways. Facial recognition has been widely used nowadays because of its convenience and reliability. There are numerous techniques and algorithms with various levels of accuracy and speed. In this paper, an unlocking system based on facial recognition is proposed. The system uses the Raspberry Pi to automate the door lock and unlock and enhance the door's security by facial recognition. A Raspberry Pi 4 Model B device with a camera module is used in this design. The Raspberry Pi features a 1.5 GHz 64-bit CPU and 4 GB RAM, and a 5-megapixel camera module. This system uses Haar Cascade in OpenCV to perform facial detection, and then uses LBPH to perform facial recognition, which can accurately identify faces. At the same time, Python was used as the programming language of this whole program, and Blynk apps was used as the user interface.

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