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Development of face recognition door lock system using raspberry PI

Masor, Muhammad Afiq (2021) Development of face recognition door lock system using raspberry PI. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Security aspect in need for many areas of life today. Since technology plays an essential role in our everyday lives, different domains of interest are taking advantage of technology. Biometric security system. The trend went from fingerprint scanners to facial recognition. This project develops a face recognition door lock system prototype using Raspberry Pi. This project uses Raspberry Pi as the main component of the prototype. As for the door lock, the solenoid lock acts as the door lock because of its simplicity, and it uses less power. The webcam camera is suitable for this project because it has a USB connection to Raspberry Pi. To fulfil the project's requirement, the user's image is stored in the database for facial recognition. Next, the store images of the user undergo a process where the recognizer capture all the facial point in the user’s face and compare it to the user that uses the door lock. How the project work is that every user that uses the door lock need to take a photo for facial recognition. Next, the images are processed to capture the facial points of the user for the recognizer to identify which user is using the door. If the user’s face matches the database, the Raspberry Pi sends the signal to the solenoid lock to open the lock allowing the user to open the door. As a result, the project provides faster entry than standard locks and keys and offers more security because only registered users can open the door. This door lock system is able to provide security and reliability that play an important role in door security

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Door lock, Security, Uses, Images, Webcam, Recognition door lock
Divisions: Library > Final Year Project > FTKEE
Depositing User: Norfaradilla Idayu Ab. Ghafar
Date Deposited: 20 Jul 2023 07:34
Last Modified: 20 Jul 2023 07:34
URI: http://digitalcollection.utem.edu.my/id/eprint/27428

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