Browse By Repository:

 
 
 
   

Design And Development Of Face Detection System For Auto Lifter Rostrum

Gunasegaran, Diwagar (2018) Design And Development Of Face Detection System For Auto Lifter Rostrum. Project Report. UTeM, Melaka, Malaysia. (Submitted)

[img] Text (24 Pages)
Design And Development Of Face Detection System For Auto Lifter Rostrum.pdf - Submitted Version

Download (985kB)

Abstract

The innovation on the many daily products is an on-going process and is never going to end as long as there are demands for better and more efficient method of doing something. This project focuses on a particular innovation of the rostrum which is the height adjustment. Rostrum is a rigid body furniture that are used for speakers to place important documents during speeches. The study intends to produce an automated height adjustment with face detection system for the rostrum so that different body statures of speakers could be adjust accordingly. Studies have been made on previous rostrum designs and the height adjustable mechanisms that were apply in the rostrum designs. The height adjustments in the rostrum designs are usually manually controlled which requires a person to pre-set the height or manually adjust it. From the references, few conceptual designs are generated and selected. The fabrication of the project takes place to create the desired automated height adjustment mechanism. The face detection system is mainly used for the height adjustment of the rostrum. As per the analysis showing, the average accuracy of face detection system is from 97.95% to 99.57%, this was the average result which gained from the analysis of face detection system accuracy. Speed of the motor which used for this rostrum was calculated by repeating the height test for different people and the time taken to adjust the height, from the result gain, the speed of the motor which used for the rostrum is 0.0194 m/s. the result showing the system able to adjust the height by detecting speaker’s face accurately and reliable. In a nutshell auto lifter rostrum with face detection system will be the smart system in future for speaker who will be using rostrum. The project hopes to provide better comfort and efficiency when the speaker is giving his or her speech.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Human face recognition (Computer science), Detectors
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Library > Final Year Project > FKE
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 07 Jan 2020 02:50
Last Modified: 07 Jan 2020 02:50
URI: http://digitalcollection.utem.edu.my/id/eprint/24196

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year