Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Automated Vehicle Counting And Classification System

Afandi, Abdul Muiz (2017) Automated Vehicle Counting And Classification System. UNSPECIFIED.

[img] PDF
Restricted to Registered users only

Download (1088Kb)


This paper describes a system that can detect, count and classify vehicles automatically based on their types. Some techniques have been conducted in this paper to achieve the objectives of the project. The detection of the vehicles has been done by using background subtraction. The image produced from background subtraction will be improved by using foreground detection to get better quality of image. Another approach that can be used is by using object segmentation technique which will create a bounding box for each vehicle to increase the accuracy of vehicles detection. On the other hand, vehicles detection can be done by using virtual detection line (VDL) which will be placed perpendicularly to the motion of vehicles. By implementing those methods, the vehicles can be detected and counted automatically, and the classification process of them will be done based on vehicle’s length and width. The results obtained by the system will be compared to the original situation to get higher accuracy rate. The higher accuracy rate will lead to the successful system that can detect, count and classify vehicles automatically.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Divisions: Engineering > Electrical and Electronic
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 20 Jun 2019 11:06
Last Modified: 20 Jun 2019 11:06
URI: http://utpedia.utp.edu.my/id/eprint/19129

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...