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Embedded System Object Tracking using CMU Camera

Narayanan, Aghilan (2014) Embedded System Object Tracking using CMU Camera. Universiti Teknologi PETRONAS. (Unpublished)

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Computer vision has gone long way from 1980s till now. Before, computer vision generally so robust and expensive. However, due to advancement in embedded processing, computer vision can be implemented in cheaper computer system. Raspberry Pi and CMUcam4 provides fantastic platform for interfacing and also provides a simple robotic object motion tracking at school-level or university-level. These simple computer vision systems can benefits in many ways such as being applied to police task force, or bomb squad purpose, or firefighting purpose. To achieve the interfacing, serial communication between the RPi and CMUcam need to be achieved. Then we’ll develop the color tracking algorithm to track a color and ask the camera to follow that colored object movement. From the troubleshooting and findings, interfacing RPi and CMUcam requires a lot of tweaking as both consists of two different systems. In the end, only servo platform does not successfully work.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 09 Oct 2014 16:13
Last Modified: 25 Jan 2017 09:37
URI: http://utpedia.utp.edu.my/id/eprint/14232

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