Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41781
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dc.contributor.authorLim, Zhi Shun-
dc.date.accessioned2016-05-31T07:09:46Z-
dc.date.available2016-05-31T07:09:46Z-
dc.date.issued2015-06-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/41781-
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractAutomated video analysis is important for many vision applications such as surveillance, traffic supervision, people tracking, augmented reality, vehicle navigation, etc. There are many existing products that capable of detect and tracking a moving object. However, some of the products that only capable of tracking moving based on colour. Tracking using colour only perform well when the colour of target is unique compared to its background. Besides, most of the system proposed only able to detect and track moving objects but cannot perform a reaction on the tracked object. This project presents an idea to develop a moving object catcher robot using SBC. To detect moving object, background subtraction has been used in this project. The catcher robot is built with a DC motor and a motor driver model L293D. The result shows that background objects are filtered and moving object detected is being highlighted and tracked. Any moving object has been detected is considered based on its coordination on the camera to decide the location of it. The catcher robot react based on the location and moving direction of the object detected.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectRoboticsen_US
dc.subjectAutomated video analysisen_US
dc.subjectCatcher roboten_US
dc.subjectSingle Board Computer (SBC)en_US
dc.subjectObject detecteden_US
dc.titleDevelopment of moving object catcher robot using SBCen_US
dc.typeLearning Objecten_US
dc.contributor.advisorMd. Mostafijur Rahmanen_US
dc.publisher.departmentSchool of Computer and Communication Engineeringen_US
Appears in Collections:School of Computer and Communication Engineering (FYP)

Files in This Item:
File Description SizeFormat 
Abstract,Acknowledgement.pdf367.29 kBAdobe PDFView/Open
Introduction.pdf354.63 kBAdobe PDFView/Open
Literature Review.pdf729.62 kBAdobe PDFView/Open
Methodology.pdf1.09 MBAdobe PDFView/Open
Results and Discussion.pdf919.56 kBAdobe PDFView/Open
Conclusion and Recommendation.pdf219.35 kBAdobe PDFView/Open
Refference and Appendics.pdf1.77 MBAdobe PDFView/Open


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