Design and Development of Colour Detection and Tracking Vehicle

 




 

Chang, Kean Loo (2017) Design and Development of Colour Detection and Tracking Vehicle. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

A two wheel mobile robot is developing by using a low cost embedded colour vision system (Pixy CMUcam5) for tracking and following. The object detection is done by distinguish its colour from the environment. A suitable design, of the robot is offered considering a number of practical factors. Pixy CMUcam5 gives the robot the ability to detect many of multi coloured objects at the same time. The robot motion is controlled by the Pixy CMUcam5. The tracking object can emerge vary methods of changing appearance patterns to detecting object. In the computer vision, detecting object then converting object into image isn’t quite simple and easier for detecting and tracking objects than using other sensors. Many parameters will be used and some algorithms that can be made. In this paper presented an object will be captured by PIXY CMUCAM5 as initial data to be memorized. Some objects will be detected by PIXY CMUCAM5 module as image data and processed by Arduino Uno. In case the PIXY CMUCAM5 fails to detecting and tracking objects, an alternative way is to use the IR remote control to control back to the User. An IR module sensor also will be installed underneath of the two wheel mobile robot to detect obstacle ahead. For this project, the concept of building this robot able to pursue a specific person through an airport while assisting with carrying that person’s luggage. This system will be test under many constraints and assumption to provide reliability and to ensure the sustainability to the user.

Item Type: Final Year Project
Subjects: Technology > Electrical engineering. Electronics engineering
Faculties: Faculty of Engineering and Technology > Bachelor of Engineering (Honours) Electrical and Electronics
Depositing User: Library Staff
Date Deposited: 22 Oct 2019 01:10
Last Modified: 14 Apr 2022 02:13
URI: https://eprints.tarc.edu.my/id/eprint/10802