Widiatmaja, Prastha Delta and Loebis, Dedy and Rusyadi, Rusman (2016) Improving Face Recognition System for Sliding Door Lock Using Smartphone Camera Through Wireless Connection. Bachelor thesis, Swiss German University.

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Abstract

The main idea for this thesis project is to design the system for a garage in a residential houses or could be for a warehouse which need protection. Facial recognition will grant the access to the user who want to access that garage or warehouse. For accessing, the user can use their smartphone camera through an application to open the door. The steps for the face recognition is to store the allowed users to access the storage in the system, then it will detect a face in the input frame taken from the smartphone camera through streaming. Last step is to recognize user whether it is similar to the stored user in the system or not. In this thesis project, the Local Binary Pattern cascade classifier works perfectly for detecting the face of the user and the Fisherfaces recognizer also works impressively. As the output, the sliding door can open when the face is recognized by the system and also lock the door when the user presses the lock button. All of the component such as mini-pc and the microcontroller work pleasantly. The system works delightful after being tested in a sequent.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Face Recognition; Image Processing; Mini-pc; Sliding Door; Open-CV.
Subjects:	Q Science > QA Mathematics > QA76 Computer software > QA76.65 Visual programming (Computer science) T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Atroridho Rizky
Date Deposited:	12 Nov 2020 14:53
Last Modified:	12 Nov 2020 14:53
URI:	http://repository.sgu.ac.id/id/eprint/1426

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