Development of IoT door lock system with face recognition by using Raspberry Pi

Sa’dan, Muhammad Syahir (2021) Development of IoT door lock system with face recognition by using Raspberry Pi. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (Full Text) Development of IoT door lock system with face recognition by using Raspberry Pi.pdf - Submitted Version Download (2MB)

Abstract

Everyday existence needs a high level of security. The problem with the traditional door lock is that it can be easily be unlock by using lock picks. The system's main goal is to create a safe door lock system utilizing the Internet of Things. The system also makes high security and comprises of parts to tackle the problem produced by intruders. The face recognition system, which is based on the Haar-like features detection technique and the Local Binary Pattern (LBP) identification algorithm, is the first section. A camera sensor is used to capture the face, and an image matching algorithm is used to recognize the authorized faces. The only person who can open the door is the one whose face matches the one on the other side. The manual mechanism is the second section. The alert system is the final part. The system is made up of a facial recognition security system, a manual key system, and a notification system. The usage of the Local Binary Pattern (LBP) algorithm in this system reduces the number of iterations utilized in the face recognition system. As a result of the time savings, the processing time of this system is faster than that of the standard system. The project will be complete if the system can recognize the registered faces through the camera and the door unlock. The prototype design has been developed, and the output of the facial recognition algorithm will lock or unlock the magnetic lock installed at the door using a relay circuit.

Actions (login required)

View Item