Real-time object detection using matlab and webcam / Abdul Azim Mohamad Roseli

Mohamad Roseli, Abdul Azim (2016) Real-time object detection using matlab and webcam / Abdul Azim Mohamad Roseli. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Webcam is normally used for live video for conference calls or uploading the image to the social network. It consists of capturing and recording images. However, the use of webcam is seldom used for recognition of an object. In this project, a USB Webcam are considered as Close Circuit Television (CCTV) and the objectives of this work is to help a person to detect and monitor their safety as the USB Webcam act as a CCTV. The scope of study of this project is to identify and differentiate the type of object from the USB Webcam. MATLAB programing is utilized to interface the webcam with the MATLAB software to encoded and distinguish the type of an object. A USB webcam are employed to differentiate and capture the object movement. The functionality of the hardware and software are tested when there is movement as the camera captured the images. The result of this project is that a person can acknowledge the object ahead either it is a humans or an animal.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Mohamad Roseli, Abdul Azim
2013675436
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Sulaiman, Suhana
UNSPECIFIED
Subjects: T Technology > TA Engineering. Civil engineering > Applied optics. Photonics > Optical data processing > Image processing
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric apparatus and materials. Electric circuits. Electric networks
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Engineering (Hons) Electrical
Keywords: Webcam, programming, image processing
Date: 2016
URI: https://ir.uitm.edu.my/id/eprint/98708
Edit Item
Edit Item

Download

[thumbnail of 98708.pdf] Text
98708.pdf

Download (1MB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

98708

Indexing

Statistic

Statistic details