CaptHear: the product identification mobile application for blind / Nurul Ameera Syafina Zulkornain

Zulkornain, Nurul Ameera Syafina (2021) CaptHear: the product identification mobile application for blind / Nurul Ameera Syafina Zulkornain. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Blindness people are people who have vision problems. Based on the disabilities, there are few problems faced by this blindness people like had a tough time in reading and recognize things and do not have proper platform to help the blind people while shopping. So, this project is conducted to become a solution from those problems which is developing a mobile application for the Product Identification for Blind. The objective of this project is to identify the requirements of CaptHear mobile application, to design the CaptHear mobile application and to develop the CaptHear mobile application. The targeted users for this mobile application are blindness people who like to buy their goods product at Guardian. Unfortunately, this project also has the limitations which are it only built for users so there is no system for admin and this project only can be used at Guardian. Mobile Application Development Life Cycle (MADLC) is one of the methodologies used for completing this project. This project begins with identification phase until testing phase only. This product identification helps blind people to identify the goods product by scanning the barcode. They also can search what are the goods product was sold in the Guardian and they also can use Google Map to find the nearest Guardian from their places. For future recommendation, this project will spread the scope for all blindness people. Online shopping has been a key part of our shopping activity. It makes shopping more timesaving and gives customers more choices. In conclusion, based on the interviews and research that I have done, it is hard for blindness people for buying what they want. Using the mobile application such as CaptHear will be very helpful for them.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Zulkornain, Nurul Ameera Syafina
2019314417
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Abdul Majid, Rogayah
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Mobile computing
R Medicine > RE Ophthalmology
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Information Technology (Hons.)
Keywords: Blindness people, Product Identification for Blind, Mobile Application Development Life Cycle (MADLC)
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/104240
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