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Automatic distance measurement device using stereo vision technique

Omar, Muhammad Hafiz (2017) Automatic distance measurement device using stereo vision technique. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

As a human, the distance estimation of an object is limited because human eye has a limitation and cannot determine the precise value of the object. Human can only roughly estimate the value of the distance of an object. The system use by the human to estimate the object is known as stereo vision of human’s eye. In this project, a stereo vision system is proposed to measure the distance of object in view accurately. A stereo camera is used to develop the system for measuring the distance of an object from the device. Nowadays, multiple cameras system is very popular because it development is becoming more easy and cheap. This situation make an easy for everyone to purchase a camera and learn on how to used it. But what is interesting is how a user can develop a system to measure a distance of an object by using a multiple cameras system which is stereo vision camera. Stereo vision camera is a camera with multi image capture. This study introduced an automatic system measurement device using a stereo vision technique. The objective of the study is to design an experiment of stereo vision technique in order to investigate the effect of different type of camera resolution used on the data collection. In other to measure the distance of specific object, a distance measurement algorithm is develop and the validity of the equation is calculated. The measurement system consist of stereo image capture using stereo camera, image processing, and object distance measurement. In image processing, an algorithm is employs to make sure the distance measurement can be conducted in real time. Research found that an object distance measurement using stereo camera is greater than using a single camera system that was proposed in many previous research works.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Image processing, Digital techniques, Computer vision, Expert systems (Computer science)
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Library > Final Year Project > FKE
Depositing User: Nor Aini Md. Jali
Date Deposited: 21 Mar 2022 04:26
Last Modified: 17 Feb 2025 04:41
URI: http://digitalcollection.utem.edu.my/id/eprint/21885

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