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Door lock using hand gesture recognition

Hasan, Nur Hazwani (2017) Door lock using hand gesture recognition. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

A great product can be produce by combining hardware and software integrated with other devices. Door locking method today also can be enhance from its traditional way to more interesting method. In fact, there are many company have built new type of locking system such as implementing password to open door. Exchanging traditional way of home lock such as using key to using human physical body is one of the idea to enhancing the usage of traditional lock. The idea to enhance home locking system by developing hand gesture recognition that can act to lock door or unlock it. As for the security features the development of hand gesture can also be used for authentication. Developing this project need a Raspberry Pi board integrated with other addition devices such as Pi camera, other product by the Raspberry Pi production company or a webcam. Project objectives come out by referring problem statements. Thus, objective of developing home lock system using hand gesture are to explore about motion detection and tracking to be used in hand gesture recognition, to design a locking system using hand gesture and to develop a hand gesture detection for authentication as security features. Developing this project used waterfall methodology that consist several phases that are requirement analysis, design, development phase, testing and lastly maintenance phase. Project significant or project contribution is about developing a low-cost home locking system with the development of hand gesture using Raspberry Pi. The development of hand gesture can act as security features besides locking methods. The motion detection and tracking can help in identifying entity. Improving new interesting method of locking door by using hand gesture recognition as key to unlock and look a door.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Raspberry Pi, Hand gesture recognition, Waterfall methodology, Unlock, Door
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FTMK
Depositing User: Sabariah Ismail
Date Deposited: 14 May 2024 08:35
Last Modified: 14 May 2024 08:35
URI: http://digitalcollection.utem.edu.my/id/eprint/31631

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