This paper presents a
development of Mobile Learning Module system that
characterized logo and recognized learning module using mobile system.
The system is based on computer vision to easy identify logo and information of
the course module which is online on server. The developed system is based on
image processing, which can control the classification, qualification and
segmentation of images hence to recognize the logo Module information.
Objectives of the project are first to design Multimedia
Learning Module system that uses a mobile phone to interface with online
server that compare and classify the captured image and trained into the
system’s database. Secondly, module is collected and characterization its type
of logo on online server and stored notes module that can be accessed globally
from time to time. The last objective is to analyze the designed system and
techniques of accessing the Modules on more than 36 participants and presents
the result. The methodology development of the system consists of three stages
which are capturing an image of each course module, recording the logos
according to type and related information of identified courses. Mobile hand
phone is used and mobile programming is coded on the server. One course is
taken as sample for recognized the logo modules. The course module is
transferred to pdf and put as accessible mobile online. Course information is
characterized and classify by chapter in pdf file through mobile phone.
Successfully results presented multimedia modules image logo can be captured
and recognition subject name and online module is extracted. Analysis of
students used of the system is presented. Students are able to easily access
the module anytime, anywhere with recorded accessed. This project is
significant to academics which is less complex and relatively faster to capture
online module for learning and teaching approach.
Learning Module, Multimedia, Mobile System, Blended Learning, Online, Logo Characterization