Mohd Razali, Nur Ramiza (2015) Automatic ablution machine based on image processing. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
In today’s era of well developing infrastructure, demands in modern and new technology growth rapidly since it contributes a significant contribution in much kind of aspects. One of the most important and frequently used is the machine vision technology. In machine vision technology, there are many application used image processing technique such as inspection, face recognition, sorting, video surveillance, sign language systems, fingerprint recognition and hand gesture recognition to control some devices likes computer, cell phones, and TV which allowing the process run faster. The main objective of this project is to develop an ablution system based on skin detection. This project will apply image processing technique to detect the human skin. The structure for this project divided into two main parts which is hardware and software. In hardware parts, the Logitech Quick Cam E-3500 Plus PC Camera and Arduino UNO controller will be used in order to actuate the servo motor to open or close the tap according to the skin detected. This project will activate the tap automatically when there is a present of skin instead of manually opened the tap when performing ablution. This machine also saving the water consumption during perform an ablution compare to perform an ablution manually. The cost of water consumption when perform an ablution using automatic ablution machine is lower compare to perform an ablution manually.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Image processing -- Digital techniques |
Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Library > Final Year Project > FKP |
Depositing User: | Ahmad Tarmizi Abdul Hadi |
Date Deposited: | 17 May 2016 08:39 |
Last Modified: | 04 Dec 2023 03:43 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/16602 |
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