Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/48525
Title: Design and implementation of magento eCommerce with face recognition application
Authors: Chye, Wun Wei.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2012
Abstract: This report shows the experiences and work done by Chye Wun Wei, on his Final Year Project. The final year project’s purpose is to design and integrate Magento eCommerce with face recognition application. Both applications are standalone software before the integration and are not pre-built. Magento eCommerce serves as an e-Commerce website for online trading purposes. The framework of Magento eCommerce provides the functionality that is robust enough to be used for other purposes thus allowing the possibilities of integrating an external face recognition application. With a simple yet customizable architecture, the Magento eCommerce is believed to be fully customizable for implementations of several policies. The face recognition application utilizes the computer web-camera for detecting and capturing of users’ face. Image captured via the application can be used for future manipulation such as facial recognition and user identification. Tight integration of both applications is believed to allow more complex tasks to be conducted within the user space thus generating more possibilities and features from the basics. It is hoped that this flexible and extensible platform is able to provide a new perspective and options into the traditional approach.
URI: http://hdl.handle.net/10356/48525
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
SCE0372.pdf
  Restricted Access
1.93 MBAdobe PDFView/Open

Page view(s) 50

331
Updated on Apr 15, 2021

Download(s)

13
Updated on Apr 15, 2021

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.