Face recognition smart door lock security system using Haar Cascade Algorithm and Local Binary Patterns Algorithm

Mah, Kim Fong (2021) Face recognition smart door lock security system using Haar Cascade Algorithm and Local Binary Patterns Algorithm. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This project is about the smart door lock security system using face recognition approach using Haar Cascade Algorithm and Local Binary Patterns (LBP) Algorithm. Different kind of smart door lock has been launched to the market in the recent years but it still needs a lot of improvement from the security aspect. The place is insecure since everyone can access the simple door lock only with door locker or padlock, or smart door lock using other approach such as fingerprint, RFID, and password easily. Therefore, face recognition approach is needed to make it more secure and convenience. The face recognition smart door lock security system will detect and recognize the face appear to the door using Haar Cascade Algorithm and Local Binary Patterns (LBP) Algorithm on Raspberry Pi. Only the person with the face who matched with the dataset in face database can unlock and access the door. Else, a notification will be sent to the owner through Telegram with Wi-Fi to alert owner about the stranger.

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